Journal Papers on Evolutionary Multiobjective Optimization

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Sección de Computación
Departamento de Ingeniería Eléctrica
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: July 21st, 2007

(Keep in mind that this list is constantly being updated)


Author: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

    A

  1. Hussein A. Abbass and Ruhul Sarker. The Pareto Differential Evolution Algorithm, International Journal on Artificial Intelligence Tools, Vol. 11, No. 4, pp. 531--552, 2002.
  2. Hussein A. Abbass. An Evolutionary Artificial Neural Networks Approach for Breast Cancer Diagnosis, Artificial Intelligence in Medicine, Vol. 25, No. 3, pp. 265--281, 2002.
  3. Hussein A. Abbass. Speeding up backpropagation using multiobjective evolutionary algorithms, Neural Computation, Vol. 15, No. 11, pp. 2705--2726, November 2003 .
  4. H.A. Abbass. An economical cognitive approach for bi-objective optimization using bliss points, visualization and interaction, in Soft Computing, 10(8):687-698, June 2006.
  5. M.A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 315--329, June 2006 .
  6. P. Agarwal and A.M. Raich. Design and optimization of steel trusses using genetic algorithms, parallel computing, and human-computer interaction, Structural Engineering and Mechanics, Vol. 23, No. 4, pp. 325--337, July 10, 2006 .
  7. N. Agrawal, G.P. Rangaiah, A.K. Ray and S.K. Gupta. Multi-Objective Optimization of the Operation of an Industrial Low-Density Polyethylene Tubular Reactor Using Genetic Algorithm and Its Jumping Gene Adaptations, Industrial and Engineering Chemistry Research, Vol. 45, pp. 3182--3199, 2006 .
  8. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga, and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004 .
  9. H. Aguirre and K. Tanaka. Random bit climbers on multiobjective MNK-Landscapes: Effects of memory and population climbing, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Vol. E88A, No. 1, pp. 334--345, January 2005 .
  10. Hernán E. Aguirre and Kiyoshi Tanaka. Working principles, behavior, and performance of MOEAs on MNK-landscapes, European Journal of Operational Research, Vol. 181, No. 3, pp. 1670--1690, 16 September, 2007 .
  11. Shamim Akhtar, Kang Tai and Tapabrata Ray. A Socio-Behavioural Simulation Model for Engineering Design Optimization, Engineering Optimization, Vol. 34, No. 4, pp. 341--354, 2002.
  12. E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, P. Bouvry and L. Hogie. A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs, Computer Communications, Vol. 30, No. 4, pp. 685--697, February 2007 .
  13. I. Alberto and P.M. Mateo. Representation and management of MOEA populations based on graphs, European Journal of Operational Research, Vol. 159, No. 1, pp. 52--65, November 2004 .
  14. M. Ali-Tavoli, N. Nariman-Zadeh, A. Khakhali and M. Mehran. Multi-objective optimization of abrasive flow machining processes using polynomial neural networks and genetic algorithms, Machining Science and Technology, Vol. 10, No. 4, pp. 491--510, October-December 2006.
  15. B. Aljibouri, E.G. Lim, H. Evans and A. Sambell. Multiobjective genetic algorithm approach for a dual-feed circular polarised patch antenna design, Electronics Letters, Vol. 36, No. 12, pp. 1005--1006, June 2000.
  16. M. Joao Alves and Joao Clímaco. An Interactive Method for 0-1 Multiobjective Problems Using Simulated Annealing and Tabu Search. Journal of Heuristics, 6(3):385-403, August 2000.
  17. M.B. Anderson, J.E. Burkhalter and R.M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms, Journal of Spacecraft and Rockets, Vol. 37, No. 5, pp. 663--669, September-October 2000.
  18. S.R. Anderson, V. Kadirkamanathan, A. Chipperfield, V. Sharifi and J. Swithenbank. Multi-objective optimization of operational variables in a waste incineration plant, Computers and Chemical Engineering, Vol. 29, No. 5, pp. 1121--1130, April 15, 2005 .
  19. J. Andersson and D. Wallace. Pareto optimization using the struggle genetic crowding algorithm, Engineering Optimization, Vol. 34, No. 6, pp. 623--643, December 2002.
  20. Anders Angantyr and Jan-Olov Aidanpää. A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design, Journal of Engineering Gas Turbines and Power, Vol. 126, No. 3, pp. 619--625, July 2004.
  21. M. Arakawa, K. Hasegawa and K. Funatsu. QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network, Chemometrics and Intelligent Laboratory Systems, Vol. 83, No. 2, pp. 91--98, September 15, 2006 .
  22. Vinícius Amaral Armentano and José Elias Claudio. An Application of a Multi-Objective Tabu Search Algorithm to a Bicriteria Flowshop Problem, Journal of Heuristics, Vol. 10, No. 5, pp. 463--481, September 2004.
  23. S. Arnone and A. Loraschi and A. Tettamanzi. A genetic approach to portfolio selection, Neural Network World, Vol. 3, No. 6, pp. 597--604, 1993.
  24. J.E.C. Arroyo and V.A. Armentano. Genetic local search for multi-objective flowshop scheduling problems, European Journal of Operational Research, Vol. 167, No. 3, pp. 717--738, December 16, 2005 .
  25. T. Arslan, D. H. Horrocks, and E. Ozdemir. Structural Synthesis of Cell-based VLSI Circuits using a Multi-Objective Genetic Algorithm, IEE Electronic Letters, 32(7):651-652, March 1996.
  26. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A GA-Based Design Space Exploration Framework for Parameterized System-On-A-Chip Platforms, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, pp. 329--346, August 2004.
  27. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A multiobjective genetic approach for system-level exploration in parameterized systems-on-a-chip, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 24, No. 4, pp. 635--645, April 2005 .
  28. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. Mapping Cores on Network-on-Chip, International Journal of Computational Intelligence Research, Vol. 1, No. 2, pp. 109--126, 2005.
  29. K. Atashkari, N. Nariman-Zadeh, A. Pilechi, A. Jamali and X. Yao. Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms, International Journal of Thermal Sciences, Vol. 44, No. 11, pp. 1061--1071, November 2005 .
  30. K. Atashkari, N. Nariman-Zadeh, M. Golcu, A. Khalkhali and A. Jamali, Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms, Energy Conversion and Management, Vol. 48, No. 3, pp. 1029--1041, March 2007 .
  31. John Atkinson-Abutridy, Chris Mellish and Stuart Aitken, A Semantically Guided and Domain-Independent Evolutionary Model for Knowledge Discovery From Texts, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 6, pp. 546--560, December 2003 .
  32. A. Augugliaro, L. Dusonchet and E. Riva Sanseverino. Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets, Electrical Power and Energy Systems, Vol. 22, No. 2, pp. 103--110, February 2000.
  33. Antonino Augugliaro, Luigi Dusonchet and Eleonora Riva Sanseverino. Evolving non-dominated solutions in multiobjective service restoration for automated distribution networks, Electric Power Systems Research, Vol. 59, No. 3, pp. 185--195, October 2001.
  34. S.L. Avila, A.C. Lisboa, L. Krahenbuhl, W.P. Carpes, J.A. Vasconcelos, R.R. Saldanha and R.H.C. Takahashi. Sensitivity analysis applied to decision making in multiobjective evolutionary optimization, in IEEE Transactions on Magnetics, 42(4):1103-1106, April 2006.
  35. B. Awadh, N. Sepehri, and O. Hawaleshka. A Computer-Aided Process Planning Model Based on Genetic Algorithms. Computers in Operations Research, 22(8):651-652, 1995.
  36. Sanjay Narayanan and Shapour Azarm. A Multiobjective Interactive Sequential Hybrid Optimization Technique for Design Decision Making. Engineering Optimization, 32:485-500, 2000.
  37. B

  38. B.V. Babu, P.G. Chakole and J.H.S. Mubeen. Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor, Chemical Engineering Science, Vol. 60, No. 17, pp. 4822--4837, September 2005 .
  39. B.V. Babu and J.H. Syed Mubeen and Pallavi G. Chakole. Simulation and Optimization of Wiped-Film Poly-Ethylene Terephthalate (PET) Reactor using Multiobjective Differential Evolution (MODE), Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 541--552, 2007 .
  40. Jerzy Balicki. Multi-criterion Optimisation of Distributed System Performance by Evolutionary Task Assignments, Journal of Research and Practice in Information Technology, Vol. 33, No. 2, pp. 173--185, 2001.
  41. Richard J. Balling, John T. Taber, Michael R. Brown, and Kirsten Day. Multiobjective Urban Planning Using a Genetic Algorithm. ASCE Journal of Urban Planning and Development, 125(2):86-99, June 1999.
  42. Richard J. Balling. Pareto sets in decision-based design, Journal of Engineering Valuation and Cost Analysis, Vol. 3, pp. 189--198, 2001
  43. Sanghamitra Bandyopadhyay, Sankar K. Pal and B. Aruna. Multiobjective GAs, Quantitative Indices, and Pattern Classification, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 34, No. 5, pp. 2088--2099, October 2004 .
  44. R. Baños, C. Gil, B. Paechter and J. Ortega. Parallelization of Population-based Multi-objective Metaheuristics: An Empirical Study, Applied Mathematical Modelling, Vol. 30, No. 7, pp. 578--592, 2006 .
  45. R. Baños, C. Gil, B. Paechter and J. Ortega. A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS, Vol. 6, No. 2, pp. 213--230, June 2007 .
  46. B. Baran, C. von Lucken and A. Sotelo. Multi-objective pump scheduling optimisation using evolutionary strategies, Advances in Engineering Software, Vol. 36, No. 1, pp. 39--47, January 2005 .
  47. Matthieu Basseur and Eckart Zitzler. Handling Uncertainty in Indicator-Based Multiobjective Optimization, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 255--272, 2006 .
  48. L. Bastidas, H. V. Gupta, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang. Parameter Estimation of a Land Surface Scheme using Multi-Criteria Methods. Journal of Geophysical Research--Atmospheres, 104(D16):19491, 1999.
  49. U. Baumgartner, Ch. Magele and W. Renhart. Pareto Optimality and Particle Swarm Optimization, IEEE Transactions on Magnetics, Vol. 40., No. 2, pp. 1172--1175, March 2004.
  50. A. Baykasoglu, S. Owen and N. Gindy. Solution of goal programming models using a basic taboo search algorithm, Journal of the Operational Research Society, Vol. 50, pp. 960--973, 1999.
  51. A. Baykasoglu, S. Owen and N. Gindy. A taboo search based approach to find the Pareto optimal set in multiple objective optimisation,Engineering Optimization, Vol. 31, No. 6, pp. 731--748, 1999.
  52. A. Baykasoglu and N. Gindy. MOCACEF 1.0:Capability based approach to form part-machine groups for cellular manufacturing applications, International Journal of Production Research, Vol. 38, No. 5, pp. 1133--1161, March 2000.
  53. A. Baykasoglu, Goal Programming using Multiple Objective Tabu Search, Journal of the Operational Research Society, Vol. 52, No. 12, pp. 1359--1369, December 2001.
  54. A. Baykasoglu, N.N.Z. Gindy and R.C. Cobb. Capability based formulation and solution of multiple objective cell formation problems using simulated annealing, Integrated Manufacturing Systems: The International Journal of Manufacturing Technology Management, Vol. 12, No. 4, pp. 258--274, 2001.
  55. A. Baykasoglu. MOAPPS 1.0: Aggregate production planning using the multiple objective tabu search, International Journal of Production Research, Vol. 39, No. 16, pp. 3685--3702, 2001.
  56. A. Baykasoglu, L. Özbakyr and A.I. Sönmez. A Tabu Search Based Linguistic Optimization Approach to Due Date Determination in Earliness-Tardiness Flexible Job Shop Scheduling, International Journal of Advanced Manufacturing Systems, Vol. 6, No. 1, pp. 81--90, 2003.
  57. A. Baykasoglu, L. Özbakyr and A.I. Sönmez. Using multiple objective tabu search and grammars to model and solve multi-objective flexible job shop scheduling problems, Journal of Intelligent Manufacturing, 15(6), 777-785, 2004.
  58. Adil Baykasoglu. Preemptive goal programming using simulated annealing, Engineering Optimization, Vol. 37, No. 1, pp. 49--63, January 2005 .
  59. Ricardo P. Beausoleil. "MOSS"multiobjective scatter search applied to non-linear multiple criteria optimization, European Journal of Operational Research, Vol. 169, No. 2, pp. 426--449, March 1st, 2006 .
  60. Ernesto Benini and Andrea Toffolo. Development of High-Performance Airfoils for Axial Flow Compressors Using Evolutionary Computation, Journal of Propulsion and Power, Vol. 18, No. 3, pp. 544--554, May-June 2002.
  61. Alessandro Benedetti, Marco Farina and M. Gobbi. Evolutionary Multiobjective Industrial Design: The Case of a Racing Car Tire-Suspension System, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 230--244, June 2006 .
  62. Ernesto Benini and Andrea Toffolo. Optimal design of horizontal-axis wind turbines using blade-element theory and evolutionary computation, Journal of Solar Energy Engineering--Transactions of the ASME, Vol. 124, No. 4, pp. 357--363, November 2002.
  63. David A. Bennett, Ningchuan Xiao and Marc P. Armstrong. Exploring the Geographic Consequences of Public Policies Using Evolutionary Algorithms, Annals of the Association of American Geographers, Vol. 94, No. 4, pp. 827--847, 2004.
  64. J.L. Bernal-Agustin, R. Dufo-Lopez and D.M. Rivas-Ascaso, Design of isolated hybrid systems minimizing costs and pollutant emissions, Renewable Energy, Vol. 31, No. 14, pp. 2227--2244, November 2006 .
  65. Nicola Beume, Boris Naujoks and Michael Emmerich. SMS-EMOA: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research, Vol. 181, No. 3, pp. 1653--1669, 16 September, 2007 .
  66. Bir Bhanu, Sungkee Lee and Subhadev Das. Adapting Image Segmentation using Genetic and Hybrid Search Methods, IEEE Transactions on Aerospace and Electronic Systems, Vol. 31, No. 4, pp. 1268--1291, October 1995.
  67. V. Bhaskar, S.K. Gupta and A.K. Ray. Multiobjective optimization of an industrial wiped-film pet reactor, AICHE Journal, Vol. 46, No. 5, pp. 1046--1058, May 2000.
  68. V. Bhaskar, S.K. Gupta and A.K. Ray. Applications of multiobjective optimization in chemical engineering, Reviews in Chemical Engineering, Vol. 16, No. 1, pp. 1--54, 2000.
  69. V. Bhaskar, S.K. Gupta and A.K. Ray. Multiobjective optimization of an industrial wiped film poly(ethylene terephthalate) reactor: some further insights, Computers & Chemical Engineering, Vol. 25, Nos. 2--3, pp. 391--407, March 2001.
  70. N. Bhutani, G.P. Rangaiah and A.K. Ray. First Principles, Data Based and Hybrid Modeling and Optimization of an Industrial Hydrocracking Unit, Industrial and Engineering Chemistry Research, Vol. 45, pp. 7807--7816, 2006 .
  71. N. Bhutani, A.K. Ray and G.P. Rangaia. Modeling, Simulation and Multi-objective Optimization of an Industrial Hydrocracking Unit, Industrial and Engineering Chemistry Research, Vol. 45, pp. 1354--1372, 2006 .
  72. To Thanh Binh and Urlich Korn. Ein multikriterielles Design-Tool für Mehrgrößensysteme mittels Evolutionsstrategien. Fachtagung 1997: Moderne Methoden des Regelungs- und ungsentwurfes, pages 35-42, 1997.
  73. Urlich Korn and To Thanh Binh. The parallel evolution strategy toolbox. Automatisierungstechnik, 4:207-208, 1998.
  74. To Thanh Binh and Urlich Korn. A parallel multiobjective evolutionary algorithm. Submission paper for Evolutionary Computing 1999, 1999.
  75. T. Biondi, A. Ciccazzo, V. Cutello, S. D'Antona, G. Nicosia and S. Spinella, Multi-objective evolutionary algorithms and pattern search methods for circuit design problems, Journal of Universal Computer Science, Vol. 12, No. 4, pp. 432--449, 2006 .
  76. Pushpen Biswas, Purnendu Bose and Vinod Tare. Optimal choice of wastewater treatment train by multi-objective optimization, Engineering Optimization, Vol. 39, No. 2, pp. 125--145, March 2007 .
  77. L. Blasi, L. Iuspa and G. Del Core. Speed-sensitivity analysis by a genetic multiobjective optimization technique, Journal of Aircraft, Vol. 39, No. 6, pp. 1076--1079, November-December 2002.
  78. Ivan Blecic, Arnaldo Cecchini and Giuseppe A. Trunfio. A decision support tool coupling a causal model and a multi-objective genetic algorithm, Applied Intelligence, Vol. 26, No. 2, pp. 125--137, April 2007 .
  79. Daniel W. Boeringer and Douglas H. Werner. Bézier representations for the multiobjective, optimization of conformal array amplitude weights, IEEE Transactions on Antennas and Propagation, Vol. 54, No. 7, pp. 1964--1970, July 2006 .
  80. Piero P. Bonissone, Raj Subbu, Neil Eklund and Thomas R. Kiehl. Evolutionary Algorithms + Domain Knowledge = Real-World Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 256--280, June 2006 .
  81. Pedro Castro Borges. CHESS-Changing Horizon Efficient Set Search: A Simple Principle for Multiobjective Optimization. Journal of Heuristics, 6(3):405-418, August 2000.
  82. Carlos C.H. Borges and Helio J.C. Barbosa. Obtaining a Restricted Pareto Front in Evolutionary Multiobjective Optimization, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp. 5--21, 2001.
  83. C. A. Borghi, D. Casadei, M. Fabbri, and G. Serra. Reduction of the torque ripple in permanent magnet actuators by a multiobjective minimization technique. IEEE Transactions on Magnetics, 34(5):2869-2872, September 1998.
  84. Peter A.N. Bosman and Dirk Thierens. The Balance Between Proximity and Diversity in Multiobjective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 174--188, April 2003 .
  85. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guidance in Evolutionary Multi-Objective Optimization, Advances in Engineering Software, Vol. 32, pp. 499--507, 2001
  86. M. Brown and R. E. Smith. Directed Multi-Objective Optimisation, International Journal of Computers, Systems and Signals, Vol. 6, No. 1, pp. 3--17, 2005.
  87. Dirk Büche, Peter Stoll, Rolf Dornberger and Petros Koumoutsakos, Multiobjective Evolutionary Algorithm for the Optimization of Noisy Combustion Processes, IEEE Transactions on Systems, Man, and Cybernetics Part C---Applications and Reviews, Vol. 32, No. 4, pp. 460--473, November 2002.
  88. E.K. Burke and J.D. Landa Silva. The influence of the fitness evaluation method on the performance of multiobjective search algorithms, European Journal of Operational Research, Vol. 169, No. 3, pp. 875--897, March 16, 2006 .
  89. Donald H. Burn and Jeanne S. Yullanti. Waste-Load Allocation using Genetic Algorithms, Journal of Water Resources Planning and Management, Vol. 127, No. 2, pp. 121--129, March-April 2001.
  90. P.G. Busacca, M. Marseguerra and E. Zio. Multiobjective optimization by genetic algorithms: application to safety systems, Reliability Engineering & System Safety, Vol. 72, No. 1, pp. 59--74, April 2001.
  91. C

  92. Zixing Cai and Yong Wang. A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 6, pp. 658--675, December 2006 .
  93. E.G. Carrano, L.A.E. Soares, R.H.C. Takahashi, R.R. Saldanha, and O.M. Neto. Electric distribution network multiobjective design using a problem-specific genetic algorithm, in IEEE Transactions on Power Delivery, 21(2):995-1005, April 2006.
  94. Alain Cardon, Thierry Galinho, and Jean-Philippe Vacher. Genetic Algorithms using Multi-Objectives in a Multi-Agent System, Robotics and Autonomous Systems, 33(2-3):179-190, November 2000.
  95. W. Matthew Carlyle, John W. Fowler, Esma S. Gel and Bosun Kim. Quantitative Comparison of Approximate Solution Sets for Bi-criteria Optimization Problems, Decision Sciences, Vol. 34, No. 1, pp. 63--82, February 2003 .
  96. Oscar Castillo, Leonardo Trujillo and Patricia Melin. Multiple objective genetic algorithms for path-planning optimization in autonomous mobile robots, Soft Computing, Vol. 11, No. 3, pp. 269--279, February 2007 .
  97. Sergio Cavalieri and Paolo Gaiardelli. Hybrid genetic algorithms for a multiple-objective scheduling problem, Journal of Intelligent Manufacturing, Vol. 9, pp. 361--367, 1998 .
  98. R. Cela, J.A. Martinez, C. Gonzalez-Barreiro and M. Lores, Multi-objective optimisation using evolutionary algorithms: its application to HPLC separations, Chemometrics and Intelligent Laboratory Systems, Vol. 69, Nos. 1-2, pp. 137--156, November 28, 2003 .
  99. G. Celano, S. Fichera, V. Grasso, U. La Commare and G. Perrone. An evolutionary approach to multi-objective scheduling of mixed model assembly lines, Computers and Industrial Engineering, Vol. 37, Nos. 1--2, pp. 69--73, 1999.
  100. G. Celli, E. Ghiani, S. Mocci and F. Pilo. A multiobjective evolutionary algorithm for the sizing and siting of distributed generation, IEEE Transactions on Power Systems, Vol. 20, No. 2, pp. 750--757, May 2005 .
  101. N. Chakraborti, R. Kumar and D. Jain. A study of the continuous casting mold using a Pareto-converging genetic algorithm, Applied Mathematical Modelling, Vol. 25, pp. 287--297, 2001 .
  102. N. Chakraborti, P. Mishra, A. Aggarwal, A. Banerjee and S.S. Mukherjee. The Williams and Otto Chemical Plant re-evaluated using a Pareto-optimal formulation aided by Genetic Algorithms, Applied Soft Computing, Vol. 6, pp. 189--197, 2006 .
  103. T.M. Chan, K.F. Man, K.S. Tang and S. Kwong. A jumping gene algorithm for multiobjective resource management in wideband CDMA systems, Computer Journal, Vol. 48, No. 6, pp. 749--768, November 2005.
  104. T.M. Chan, K.F. Man, K.S. Tang and S. Kwong. A jumping-genes paradigm for optimizing factory WLAN network, IEEE Transactions on Industrial Informatics, Vol. 3, No. 1, pp. 33--43, February 2007 .
  105. C. S. Chang, W. Wang, A. C. Liew, and F. S. Wen. Bicriterion optimisation for traction substations in mass rapid transit systems using genetic algorithm, IEE Proceedings B, Electric Power Applications, 145(1):49-56, January 1998.
  106. C.S. Chang and L.F. Tian. Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm, IEE Proceedings of Electric Power Applications, Vol. 146, No. 5, pp. 570--576, September 1999.
  107. C.S. Chang, D.Y. Xu and H.B. Quek. Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system, IEE Proceedings on Electric Power Applications, Vol. 146, No. 5, pp. 577--583, September 1999.
  108. C.S. Chang and D.Y. Xu. Differential Evolution Based Tuning of Fuzzy Automatic Train Operation for Mass Rapid Transit System, IEE Proceedings of Electric Power Applications, Vol. 147, No. 3, pp. 206--212, May 2000.
  109. T. J. Chang, N. Meade and J. E. Beasley. Heuristics for Cardinality Constrained Portfolio Optimization, Computers and Operations Research, Vol. 27, No. 13, pp. 1271--1302, 2000.
  110. P.C. Chang, S.H. Chen and K.L. Lin. Two-phase sub population genetic algorithm for parallel machine-scheduling problem, Expert Systems with Applications, Vol. 29, No. 3, pp. 705--712, October 2005 .
  111. A. Chattopadhyay and C.E. Seeley. A simulated annealing technique for multiobjective optimization of intelligent structures, Smart Materials and Structures, Vol. 3, No. 2, pp. 98--106, June 1994.
  112. Yan Chen, Masakuni Narita, Masashi Tsuji, and Sangduk Sa. A Genetic Algorithm Approach to Optimization for the Radiological Worker Allocation Problem. Health Physics, 70(2):180-186, February 1996.
  113. H. W. Chen and Ni-Bin Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Science and Technology, 37(8):55-63, 1998.
  114. Yun-Wen Chen and Gwo-Hshiung Tzeng. A Fuzzy Multi-objective Model for Reconstructing the Post-quake Road-network by Genetic Algorithm, International Journal of Fuzzy Systems, Vol. 1, No. 2, pp. 85--95, December 1999.
  115. Qian Chen and Sheng-Uei Guan. Incremental Multiple Objective Genetic Algorithms, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 34, No. 3, pp. 1325--1334, June 2004.
  116. J.H. Chen, H.M. Chen and S.Y. Ho. Design of nearest neighbor classifiers: multi-objective approach, International Journal of Approximate Reasoning, Vol. 40, Nos. 1--2, pp. 3--22, July 2005.
  117. D. Chen, J.A. Quirein, H.D. Smith, S. Hamid and J. Grable. Neural network ensemble selection using a multi-objective genetic algorithm in processing pulsed neutron data, Petrophysics, Vol. 46, No. 5, pp. 323--334, October 2005.
  118. H.W. Chen and N.B. Chang. Decision support for allocation of watershed pollution load using grey fuzzy multiobjective programming, Journal of the American Water Resources Association, Vol. 42, No. 3, pp. 725--745, June 2006 .
  119. Franklin Y. Cheng and Dan Li. Multiobjective Optimization Design with Pareto Genetic Algorithm. .Journal of Structural Engineering, 123(9):1252-1261, September 1997.
  120. F.Y. Cheng and D. Li. Genetic algorithm development for multiobjective optimization of structures, AIAA Journal, Vol. 36, No. 6, pp. 1105--1112, 1998.
  121. A. J. Chipperfield and P. J. Fleming. Multiobjective Gas Turbine Engine Controller Design Using Genetic Algorithms, IEEE Transactions on Industrial Electronics, 43(5), October 1996.
  122. Andrew J. Chipperfield, Beatrice Bica and Peter J. Fleming. Fuzzy Scheduling Control of a Gas Turbine Aero-Engine: A Multiobjective Approach, IEEE Transactions on Industrial Electronics, Vol. 49, No. 3, pp. 536--548, June 2002.
  123. Dong-Hyeok Cho, Hyun-Kyo Jung and Dong-Joon Sim. Multiobjective Optimal Design of Interior Permanent Magnet Synchronous Motors Considering Improved Core Loss Formula, IEEE Transactions on Energy Conversion, Vol. 14, No. 4, pp. 1347--1352, December 1999.
  124. Hosung Choo, Hao Ling and Charles S. Liang. Shape Optimization of Corrugated Coatings Under Grazing Incidence Using a Genetic Algorithm, IEEE Transactions on Antennas and Propagation, Vol. 51, No. 11, pp. 3080--3087, November 2003.
  125. Scott E. Cieniawski, J. W. Eheart, and S. Ranjithan. Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring Problem. Water Resources Research, 31(2):399-409, February 1995.
  126. T. Clarke and R. Davies. Robust eigenstructure assignment using the genetic algorithm and constrained state feedback. Journal of Systems and Control Engineering, 211(1):53-61, February 1997.
  127. Jeffery K. Cochran, Shwu-Min Horng, and John W. Fowler. A Multi-Population Genetic Algorithm to Solve Multi-Objective Scheduling Problems for Parallel Machines, Computers and Operations Research, Vol. 30, No. 7, pp. 1087--1102, 2003.
  128. Rajan Filomeno Coelho, Hugues Bersini and Philippe Bouillard. Parametrical Mechanical Design with Constraints and Preferences: Application to a Purge Valve, Computer Methods in Applied Mechanics and Engineering, Vol. 192, Nos. 39-40, pp. 4355--4378, September 2003 .
  129. R.F. Coelho and P. Bouillard. A multicriteria evolutionary algorithm for mechanical design optimization with expert rules, International Journal for Numerical Methods in Engineering, Vol. 62, No. 4, pp. 516--536, January 28, 2005 .
  130. Carlos A. Coello Coello, Alan D. Christiansen, and Arturo Hernández Aguirre. Using a New GA-Based Multiobjective Optimization Technique for the Design of Robot Arms, Robotica, 16(4):401-414, July-August 1998.
  131. Carlos A. Coello Coello and Alan D. Christiansen. Two New GA-based methods for multiobjective optimization Civil Engineering Systems, 15(3):207-243, 1998.
  132. Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, 1(3):269-308, August 1999.
  133. Carlos A. Coello Coello and Alan D. Christiansen. MOSES: A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, 31(3):337-368, 1999.
  134. Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, 32(3):275-308, 2000.
  135. Carlos A. Coello Coello and Alan D. Christiansen. Multiobjective optimization of trusses using genetic algorithms, Computers and Structures, 75(6):647-660, May 2000.
  136. Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique,Civil Engineering and Environmental Systems, 17:319-346, 2000.
  137. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys, 32(2):109-143, June 2000.
  138. Carlos A. Coello Coello and Arturo Hernández Aguirre. Design of Combinational Logic Circuits through an Evolutionary Multiobjective Optimization Approach, Artificial Intelligence for Engineering, Design, Analysis and Manufacture, Cambridge University Press, Vol. 16, No. 1, pp. 39--53, January 2002.
  139. Carlos A. Coello Coello, Gregorio Toscano Pulido and Maximino Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, pp. 256--279, June 2004.
  140. Carlos A. Coello Coello and Nareli Cruz Cortés. Solving Multiobjective Optimization Problems using an Artificial Immune System, Genetic Programming and Evolvable Machines, Vol. 6, No. 2, pp. 163--190, June 2005 .
  141. Carlos A. Coello Coello and Gregorio Toscano Pulido. Multiobjective Structural Optimization using a Micro-Genetic Algorithm, Structural and Multidisciplinary Optimization, Vol. 30, No. 5, pp. 388--403, November 2005.
  142. Carlos A. Coello Coello. The EMOO repository: a resource for doing research in evolutionary multiobjective optimization, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 37--45, February 2006 .
  143. Carlos A. Coello Coello. Evolutionary Multiobjective Optimization: A Historical View of the Field, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 28--36, February 2006 .
  144. Y. Collette, P. Siarry and H.-I. Wong. A Systematic Comparison of Performance of Various Multiple Objective Metaheuristics Using a Common Set of Analytical Test Functions, Foundations of Computing and Decision Sciences, Vol. 25, No. 4, pp. 249--271, 2000.
  145. Angel Corberán, Elena Fernández, Manuel Laguna and Rafael Martí. Heuristic Solutions to the Problem of Routing School Buses with Multiple Objectives, Journal of the Operational Research Society, Vol. 53, No. 4, pp. 427--435, 2002.
  146. O. Cordon, E. Herrera-Viedma and M. Luque. Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm, Information Processing & Management, Vol. 42, No. 3, pp. 615--632, May 2006 .
  147. David W. Corne, Kalyanmoy Deb, Peter J. Fleming and Joshua D. Knowles. The Good of the Many Outweights the Good of the One: Evolutionary Multi-Objective Optimization, Connections. The Newsletter of the IEEE Neural Networks Society, Vol. 1, No. 1, pp. 9--13, February 2003 .
  148. Lino Costa and Pedro Oliveira. Evolutionary Algorithms Approach to the Solution of Mixed Integer Non-Linear Programming Problems, Computers & Chemical Engineering, Vol. 25, pp. 257-266, 2001 .
  149. Lino Costa and Pedro Oliveira. An Adaptive Sharing Elitist Evolution Strategy for Multiobjective Optimization, Evolutionary Computation, Vol. 11, No. 4, pp. 417--438, Winter 2003 .
  150. José Covas, A. Gaspar Cunha and Pedro Oliveira. Optimisation of single screw extrusion. Theoretical and experimental results, International Journal of Forming Processes, Vol. 1, No. 3, pp. 323--343, September 1998.
  151. J.A. Covas, A.G. Cunha and P. Oliveira. An Optimization Approach to Practical Problems in Plasticating Single Screw Extrusion, Polymer Engineering and Science, Vol. 39, No. 3, pp. 443--456, March 1999.
  152. V. Coverstone-Caroll, J.W. Hartmann and W.M. Mason. Optimal Multi-Objective Low-Thrust Spacecraft Trajectories, Computer Methods in Applied Mechanics and Engineering, Vol. 186, pp. 387--402, 2000 .
  153. A.G. Cunha, J.A. Covas and P. Oliveira. Optimization of polymer extrusion with genetic algorithms, IMA Journal of Mathematics Applied in Business and Industry, Vol. 9, pp. 267--277, 1998.
  154. A. Gaspar-Cunha, A. Poulesquen, B. Vergnes and J.A. Covas. Optimization of Processing Conditions for Polymer Twin-screw Extrusion, International Polymer Processing, Vol. 17, No. 3, pp. 201--213, 2002.
  155. A. Gaspar-Cunha, J.A. Covas and B. Vergnes. Defining the configuration of co-rotating twin-screw extruders with multiobjective evolutionary algorithms, Polymer Engineering and Science, Vol. 45, No. 8, pp. 1159--1173, August 2005 .
  156. A. Gaspar-Cunha and J.C. Viana. Using multi-objective evolutionary algorithms to optimize mechanical properties of injection molded part, International Polymer Processing, Vol. 20, No. 3, pp. 274--285, September 2005 .
  157. Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano and Luigi Salvatore. On-Line Genetic Design of Anti-Windup Unstructured Controllers for Electric Drives With Variable Load,IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, pp. 347--364, August 2004.
  158. Ian C. Parmee, Dragan Cvetkovic, Andrew H. Watson, and Christopher R. Bonham. Multi-objective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2):197-222, 2000.
  159. Dragan Cvetkovic and Ian C. Parmee. Preferences and their Application in Evolutionary Multiobjective Optimisation. IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, pp. 42--57, February 2002.
  160. Dragan Cvetkovic and Ian C. Parmee. Agent--based Support within an Interactive Evolutionary Design System, Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), Vol. 16, No. 5, pp. 331-342, November 2002.
  161. P. Czyzak and A. Jaszkiewicz. A multiobjective metaheuristic approach to the localization of a chain of petrol stations by the capital budgeting model. Control and Cybernetics, 25(1):177-187, 1996.
  162. P. Czyzak and A. Jaszkiewicz. Pareto simulated annealing--a metaheuristic technique for multiple-objective combinatorial optimization,Journal of Multi-Criteria Decision Analysis, 7:34-47, 1998.
  163. D

  164. N. V. Dakev, J. F. Whidborne, A. J. Chipperfield, and P. J. Fleming. ${H}_infty$ design of an EMS control system for a maglev vehicle using evolutionary algorithms. Proceedings of IMechE-I Part I: Journal of Systems and Control Engineering, 311(4):345-355, 1997.
  165. D.B. Das and C. Patvardhan. New multi-objective stochastic search technique for economic load dispatch, IEE Proceedings on Generation, Transmission and Distribution, Vol. 145, No. 6, pp. 747--752, November 1998.
  166. Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load carrying members using multi-objective evolutionary algorithms, Journal of Systemics, Cybernetics and Informatics, Vol. 1, pp. 57--63, January 2006.
  167. Kalyanmoy Deb and Amarendra Kumar. Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems. Complex Systems, 9:431-454, 1995.
  168. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Evolutionary Computation, 7(3):205-230, Fall 1999.
  169. Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms, Journal of the Operational Research Society, Vol. 52, No. 3, pp. 291--302, 2001
  170. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA--II, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182--197, April 2002.
  171. Kalyanmoy Deb. Unveiling innovative design principles by means of multiple conflicting objectives, Engineering Optimization, Vol. 35, No. 5, pp. 445--470, October 2003 .
  172. Kalyanmoy Deb and Sachin Kain. Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms, Journal of Mechanical Design, Vol. 125, No. 3, pp. 609--619, September 2003.
  173. Kalyanmoy Deb. An Ideal Evolutionary Multi-Objective Optimization Procedure, IPSJ Transactions on Mathematical Modeling and Its Applications, Vol. 45, No. SIG 2 (TOM 10), pp. 1--11, February 2004.
  174. K. Deb, K. Mitra, R. Dewri and S. Majumdar. Towards a Better Understanding of the Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, Chemical Engineering Science, Vol. 59, No. 20, pp. 4261--4277, 2004.
  175. Kalyanmoy Deb and Santosh Tiwari. Multi-objective optimization of a leg mechanism using genetic algorithms, Engineering Optimization, Vol. 37, No. 4, pp. 325--350, June 2005 .
  176. Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions, Evolutionary Computation, Vol. 13, No. 4, pp. 501--525, Winter 2005 .
  177. Kalyanmoy Deb, J. Sundar, Udaya Bhaskara Rao N. and Shamik Chaudhuri. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 273--286, 2006 .
  178. Kalyanmoy Deb and Himanshu Gupta. Introducing robustness in multi-objective optimization, Evolutionary Computation, Vol. 14, No. 4, pp. 463--494, Winter 2006.
  179. S. Dedieu, L. Pibouleau, C. Azzaro-Pantel and S. Domenech, Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm, Computers & Chemical Engineering, Vol. 27, No. 12, pp. 1723--1740, December 15, 2003 .
  180. Edwin D. de Jong and Jordan B. Pollack.Multi-Objective Methods for Tree Size Control, Genetic Programming and Evolvable Machines, Vol. 4, No. 3, pp. 211--233, September 2003 .
  181. Edwin D. de Jong and Jordan B. Pollack. Ideal Evaluation from Coevolution, Evolutionary Computation, Vol. 12, No. 2, pp. 159--192, Summer 2004.
  182. Edwin D. de Jong. A Monotonic Archive for Pareto-Coevolution, Evolutionary Computation, Vol. 15, No. 1, pp. 61--93, Spring 2007 .
  183. I.M. Delamer and J.L.M. Lastra. Evolutionary multi-objective optimization of QoS-Aware Publish/Subscribe Middleware in electronics production, Engineering Applications of Artificial Intelligence, Vol. 19, No. 6, pp. 593--607, September 2006 .
  184. Pierre De Lit, Patrice Latinne, Brahim Rekiek and Alain Delchambre. Assembly Planning with an Ordering Genetic Algorithm, International Journal of Production Research, Vol. 39, No. 16, pp. 3623--3640, November 2001.
  185. B. De Smedt and G.C.E. Gielen. WATSON: Design space boundary exploration and model generation for analog and RF IC design, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 22, No. 2, pp. 213--224, February 2003 .
  186. A. K. Dhingra and B. H. Lee. A Genetic Algorithm Approach to Single and Multiobjective Structural Optimization with Discrete-Continuous Variables. International Journal for Numerical Methods in Engineering, 37:4059-4080, 1994.
  187. Alexandre H.F. Dias and Joao A. de Vasconcelos. Multiobjective genetic algorithms applied to solve optimization problems, IEEE Transactions on Magnetics, Vol. 38, No. 2, pp. 1133--1136, March 2002.
  188. P. Di Barba, M. Farina and A. Savini. Vector Shape Optimisation of an Electrostatic Micromotor using a Genetic Algorithm, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 19, No. 2, pp. 576--581, 2000.
  189. P. Di Barba, M. Farina and A. Savini. An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 20, No. 2, pp. 482--496, 2001.
  190. P. Di Barba and M. Farina. Multiobjective Shape Optimisation of Air Cored Solenoids, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 21, No. 1, pp. 45--57, 2002.
  191. P. Di Barba. Multiobjective design optimisation: A microeconomics-inspired strategy applied to electromagnetics, International Journal of Applied Electromagnetics and Mechanics, Vol. 21, No. 2, pp. 101--117, 2005 .
  192. Robert P. Dick and Niraj K. Jha. MOGAC: A Multiobjective Genetic Algorithm for Hardware-Software Co-synthesis of Hierarchical Heterogeneous Distributed Embedded Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 17(10):920-935, October 1998.
  193. A. Dietz, C. Azzaro-Pantel, L. Pibouleau and S. Domenech, Multiobjective optimization for multiproduct batch plant design under economic and environmental considerations, Computers & Chemical Engineering, Vol. 30, No. 4, pp. 599--613, February 15, 2006 .
  194. A. Dietz, C. Azzaro-Pantel, L. Pibouleau and S. Domenech. Optimal design of batch plants under economic and ecological considerations: Application to a biochemical batch plant, Mathematical and Computer Modelling, Vol. 46, Nos. 1--2, pp. 109--123, July 2007 .
  195. C. Dimopoulos. Explicit consideration of multiple objective in cellular manufacturing, Engineering Optimization, Vol. 39, No. 5, pp. 551--565, July 2007 .
  196. H.W. Ding, L. Benyoucef and X.L. Xie. A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization, Engineering Applications of Artificial Intelligence, Vol. 19, No. 6, pp. 609--623, September 2006 .
  197. Karl Doerner, Richard F. Hartl and Marc Reimann. Are COMPETants more competent for problem solving? - The Case of Full Truckload Transportation, Central European Journal of Operations Research, Vol. 11, No. 2, pp. 115--141, 2003.
  198. Karl Doerner, Walter J. Gutjahr, Richard F. Hartl, Christine Strauss and Christian Stummer. Pareto Ant Colony Optimization: A Metaheuristic Approach to Multiobjective Portfolio Selection, Annals of Operations Research, Vol. 131 Nos. 1--4, pp. 79--99, October 2004 .
  199. K.F. Doerner, W.J. Gutjahr, R.F. Hartl, C. Strauss and C. Stummer. Pareto ant colony optimization with ILP preprocessing in multiobjective portfolio selection, European Journal of Operational Research, Vol. 171, No. 3, pp. 830--841, 16th June, 2006 .
  200. Karl Doerner, Axel Focke and Walter J. Gutjahr. Multicriteria tour planning for mobile healthcare facilities in a developing country, European Journal of Operational Research, Vol. 179, No. 3, pp. 1078--1096, June 16, 2007 .
  201. A. Dogan and F. Ozguner, Biobjective scheduling algorithms for execution time-reliability trade-off in heterogeneous computing systems,Computer Journal, Vol. 48, No. 3, pp. 300--314, 2005 .
  202. J. Duggan, J. Byrne and G.J. Lyons, A task allocation optimizer for software construction, IEEE Software, Vol. 21, No. 3, pp. 76--82, May-June 2004.
  203. D. Dumitrescu, Crina Grosan and Mihai Oltean. A New Evolutionary Approach for Multiobjective Optimization, Studia Universitatis Babes--Bolyai, Informatica, Volume XLV, No. 1, pp. 51--68, 2000.
  204. D. Dumitrescu, Crina Grosan and Mihai Oltean. Genetic Chromodynamics for Obtaining Continuous Representation of Pareto Regions, Studia Universitatis Babes--Bolyai, Informatica, Volume XLVI, No. 1, pp. 15--30, 2001.
  205. E

  206. R.M. Edwards, G.G. Cook, S.K. Kharmas, R.J. Aidley and B. Chambers. Design of circularly polarised printed spiral antenna using dual objective genetic algorithm, Electronics Letters, Vol. 34, No. 7, pp. 608--609, April 1998.
  207. Matthias Ehrgott and Xavier Gandibleux. A Survey and Annotated Bibliography of Multiobjective Combinatorial Optimization. OR Spektrum, 22:425-460, 2000.
  208. Matthias Ehrgott. Approximation algorithms for combinatorial multicriteria optimization problems. International Transactions in Operational Research, 7:5-31, 2000.
  209. Matthias Ehrgott, Kathrin Klamroth and Christian Schwehm. An MCDM approach to portfolio optimization, European Journal of Operational Research, Vol. 155, No. 3, pp. 752--770, June 2004.
  210. Matthias Ehrgott and Xavier Gandibleux. Approximative Solution Methods for Multiobjective Combinatorial Optimization, Top, Vol. 12, No. 1, pp. 1--89, June 2004.
  211. M. Eisenring, L. Thiele, and E. Zitzler. Conflicting Criteria in Embedded System Design. IEEE Design and Test, 17(2):51-59, April-June 2000.
  212. Anikó Ekárt and S.Z. Németh. Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 2, No. 1, pp. 61--73, March 2001.
  213. Neil H. Eklund and Mark J. Embrechts. Multi-Objective Optimization of Spectra Using Genetic Algorithms, Journal of Illuminating Engineering Society, Vol. 30, pp. 65--72, 2001.
  214. Semya Elaoud, Taicir Loukil and Jacques Teghem. The Pareto fitness genetic algorithm: Test function study, European Journal of Operational Research, Vol. 177, No. 3, pp. 1703--1719, March 16, 2007 .
  215. C. Elegbede and K. Adjallah. Availability allocation to repairable systems with genetic algorithms: a multi-objective formulation, Reliability Engineering and System Safety, Vol. 82, No. 3, pp. 319--330, December 2003.
  216. K. El-Rayes and K. Hyari. Optimal lighting arrangements for nighttime highway construction projects, Journal of Construction Engineering and Management--ASCE, Vol. 131, No. 12, pp. 1292--1300, December 2005 .
  217. Michael T.M. Emmerich, Kyriakos C. Giannakoglou and Boris Naujoks. Single- and Multiobjective Evolutionary Optimization Assisted by Gaussian Random Field Metamodels, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 4, pp. 421--439, August 2006 .
  218. Cagkan Erbas, Selin Cerac-Erbas and Andy D. Pimentel. Multiobjective Optimization and Evolutionary Algorithms for the Application Mapping Problem in Multiprocessor System-on-Chip Design, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 358--374, June 2006 .
  219. Mark Erickson, Alex Mayer, and Jeffrey Horn. Multi-objective optimal design of groundwater remediation systems: application of the niched Pareto genetic algorithm (NPGA), Advances in Water Resources, Vol. 25, No. 1, pp. 51--65, January 2002.
  220. S. Esquivel, S. Ferrero, R. Gallard, C. Salto, H. Alfonso and M. Schütz. Enhanced evolutionary algorithms for single and multiobjective optimization in the job scheduling problem, Knowledge-Based Systems, Vol. 15, Nos. 1--2, pp. 13--25, January 2002.
  221. S. Esquivel, S. Ferrero and R. Gallard. Parameter settings and representations in Pareto-based optimization for job shop scheduling, Cybernetics and Systems, Vol. 33, No. 6, pp. 559--578, September 2002.
  222. Richard M. Everson and Jonathan E. Fieldsend. Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 2, pp. 187--198, April 2006 .
  223. R.M. Everson and J.E. Fieldsend. Multi-class ROC analysis from a multi-objective optimisation perspective, Pattern Recognition Letters, Vol. 27, No. 8, pp. 918--927, June 2006 .
  224. F

  225. Ali Farhang-Mehr and Shapour Azarm. Entropy-based multi-objective genetic algorithm for design optimization, Structural and Multidisciplinary Optimization, Vol. 24, No. 5, pp. 351--361, November 2002.
  226. Marco Farina. A Minimal Cost Hybrid Strategy for Pareto Optimal Front Approximation, Evolutionary Optimization, Vol. 3, No. 1, pp. 41--52, 2001.
  227. Marco Farina, Alessandro Bramanti and Paolo Di Barba. A GRS Method for Pareto-Optimal Front Identification in Electromagnetic Synthesis, IEE Proceedings---Science, Measurement and Technology, Vol. 149, No. 5, pp. 207--213,September 2002.
  228. M. Farina and P. Amato. A fuzzy definition of "optimality" for many-criteria optimization problems, IEEE Transactions on Systems, Man, and Cybernetics Part A---Systems and Humans, Vol. 34, No. 3, pp. 315--326, May 2004.
  229. Marco Farina, Kalyanmoy Deb and Paolo Amato. Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 5, pp. 425--442, October 2004.
  230. M. Farina and P. Amato. Linked interpolation-optimization strategies for multicriteria optimization problems, Soft Computing--A Fusion of Foundations, Methodologies and Applications, Springer-Verlag, Vol. 9, No. 1, pp. 54--65, January 2005 .
  231. R. Farmani, D.A. Savic and G.A. Walters. Evolutionary multi-objective optimization in water distribution network design, Engineering Optimization, Vol. 37, No. 2, pp. 167--183, March 2005 .
  232. S. Favuzza, M.G. Ippolito and E.R. Sanseverino. Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks, Advanced Engineering Informatics, Vol. 20, No. 2, pp. 201--211, April 2006 .
  233. Chung-Wei Feng, Liang Liu, and Scott A. Burns. Using Genetic Algorithms to Solve Construction Time-Cost Trade-Off Problems. Journal of Computing in Civil Engineering, 10(3):184-189, 1999.
  234. C.-M. Feng and J.-J. Lin. Using a genetic algorithm to generate alternative sketch maps for urban planning. Computers, Environment and Urban Systems, 23(2):91-108, March 1999.
  235. Eduardo Fernández and Rafael Olmedo. An improved method for deriving final ranking from a fuzzy preference relation via multiobjective optimization, Foundations of Computing and Decision Sciences, Vol. 28, No. 3, pp. 143--157, 2003 .
  236. Eduardo Fernández and Juan Carlos Leyva. A method based on multiobjective optimization for deriving a ranking from a fuzzy preference relation, European Journal of Operational Research, Vol. 154, No. 1, pp. 110--124, April 2004 .
  237. Jonathan E. Fieldsend, Richard M. Everson and Sameer Singh. Using Unconstrained Elite Archives for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 3, pp. 305--323, June 2003 .
  238. Jonathan E. Fieldsend and Sameer Singh. Pareto evolutionary neural networks, IEEE Transactions on Neural Networks, Vol. 16, No. 2, pp. 338--354, March 2005.
  239. Robert Flynn and Porter D. Sherman. Multicriteria Optimization of Aircraft Panels: Determining Viable Genetic Algorithm Configurations. International Journal of Intelligent Systems, 10:987-999, 1995.
  240. K. Foli, T. Okabe, M. Olhofer, Y.C. Jin and B. Sendhoff. Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms, International Journal of Heat and Mass Transfer, Vol. 49, Nos. 5--6, pp. 1090--1099, March 2006 .
  241. Carlos M. Fonseca and Peter J. Fleming. An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, 3(1):1-16, Spring 1995.
  242. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part I: A Unified Formulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1):26-37, 1998.
  243. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part II: A Application Example. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1):38-47, 1998.
  244. Christian Fonteix, Silvère Massebeuf, Fernand Pla and Laszlo Nando Kiss. Multicriteria optimization of an emulsion polymerization process, European Journal of Operational Research, Vol. 153, No. 2, pp. 350--359, March 2004.
  245. Michalis Fragiadakis, Nikos D. Lagaros and Manolis Papadrakakis. Performance-based multiobjective optimum design of steel structures considering life-cycle cost, Structural and Multidisciplinary Optimization, Vol. 32, No. 1, pp. 1--11, July 2006.
  246. Fabio Freschi and Maurizio Repetto. VIS: an artificial immune network for multi-objective optimization, Engineering Optimization, Vol. 38, No. 8, pp. 975--996, December 2006 .
  247. Tomonari Furukawa. Parameter Identification with Weightless Regularization, International Journal for Numerical Methods in Engineering, Vol. 52, pp. 219--238, 2001.
  248. Tomonari Furukawa and Gamini Dissanayake. Parameter identification of autonomous vehicles using multi-objective optimization, Engineering Optimization, Vol. 34, No. 4, pp. 369--395, 2002.
  249. G

  250. B. Gaal, I. Vassanyi and G. Kozmann. A novel artificial intelligence method for weekly dietary menu planning, Methods of Information in Medicine, Vol. 44, No. 5, pp. 655--664, 2005.
  251. Xavier Gandibleux and Arnaud Freville. Tabu Search Based Procedure for Solving the 0-1 Multi-Objective Knapsack Problem: The Two Objectives Case. Journal of Heuristics, 6(3):361-383, August 2000.
  252. S. Ganguly, S. Datta and N. Chakraborti. Genetic Algorithms in Optimization of Strength and Ductility of Low-Carbon Steels, Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 650--658, 2007 .
  253. Nicolás García-Pedrajas, César Hervás-Martínez and Domingo Ortiz-Boyer. Cooperative Coevolution of Artificial Neural Network Ensembles for Pattern Classification, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 3, pp. 271--302, June 2005 .
  254. C. García-Martínez, O. Cordón and F. Herrera. A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP, European Journal of Operational Research, Vol. 180, No. 1, pp. 116--148, July 1, 2007 .
  255. Jesus Garcia, Antonio Berlanga and Jose M. Molina. Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies, Advanced Engineering Informatics, Vol. 21, No. 1, pp. 3--21, January 2007 .
  256. Sanjeev Garg and Santosh K. Gupta. Multiobjective optimization of a free radical bulk polymerization reactor using genetic algorithm,Macromolecular Theory and Simulations, 8(1):46-53, 1999.
  257. M. Gen, K. Ida, and Y. Li. Solving bicriteria solid transportation problem with fuzzy numbers by genetic algorithm. International Journal of Computers and Industrial Engineering, 29:537-543, 1995.
  258. Martin Josef Geiger. On operators and search space topology in multi-objective flow shop scheduling, European Journal of Operational Research, Vol. 181, No. 1, pp. 195--206, August 16, 2007 .
  259. A. Gepperth and S. Roth. Applications of multi-objective structure optimization, Neurocomputing, Vol. 69, Nos. 7--9, pp. 701--713, March 2006 .
  260. John S. Gero, Sushil J. Louis, and Sourav Kundu. Evolutionary learning of novel grammars for design improvement, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 8:83-94, 1994.
  261. John S. Gero and Sushil J. Louis. Improving Pareto Optimal Designs Using Genetic Algorithms, Microcomputers in Civil Engineering, 10(4):241-249, 1995.
  262. M.R. Gholamian, S.M.T.F. Ghomi and M. Ghazanfari. A hybrid systematic design for multiobjective market problems: a case study in crude oil markets, Engineering Applications of Artificial Intelligence, Vol. 18, No. 4, pp. 495--509, June 2005.
  263. M.R. Gholamian, S.M.T. Fatemi Ghomi and M. Ghazanfari. A hybrid intelligent system for multiobjective decision making problems, Computers and Industrial Engineering, Vol. 51, No. 1, pp. 26--43, September 2006.
  264. M.R. Gholamian, S.M.T. Fatemi Ghomi and M. Ghazanfari. A hybrid system for multiobjective problems - A case study in NP-hard problems, Knowledge-Based Systems, Vol. 20, No. 4, pp. 426--436, May 2007 .
  265. A. Ghosh and B. Nath. Multi-objective rule mining using genetic algorithms, Information Sciences, Vol. 163, Nos. 1--3, pp. 123--133, June 14, 2004.
  266. C. Gil, R. Baños, M.G. Montoya and J. Gómez. Performance of Simulated Annealing, Tabu Search, and Evolutionary Algorithms for Multi-objective Network Partitioning, Algorithmic Operations Research, Vol. 1, No. 1, pp. 55--64, 2006 .
  267. C. Gil, A. Marquez, R. Baños, M.G. Montoya and J. Gomez. A hybrid method for solving multi-objective global optimization problems, Journal of Global Optimization, Vol. 38, No. 2, pp. 265--281, June 2007 .
  268. M.K. Gill, Y.H. Kaheil, A. Khalil, M. Mckee and L. Bastidas. Multiobjective particle swarm optimization for parameter estimation in hydrology, Water Resources Research, Vol. 42, No. 7, Art. No. W07417, July 22, 2006 .
  269. V. J. Gillet, W. Khatib, P. Willett, P.J. Fleming, and D.V.S. Green. Combinatorial library design using a multiobjective genetic algorithm, Journal of Chemical Information and Computer Sciences, Vol. 42, No. 2, pp. 375-385, March-April 2002.
  270. V. Gineityte, B. Csukas, and S. Balogh. Combining genetic programming with generic simulation models in evolutionary synthesis. Computers in Industry, 36(3):181-197, June 1998.
  271. C. K. Goh and K. C. Tan. An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 3, pp. 354--381, June 2007 .
  272. Yorgos Goletsis, Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas and Lampros K. Michalis. Automated Ischemic Beat Classification Using Genetic Algorithms and Multicriteria Decision Analysis, IEEE Transactions on Biomedical Engineering, Vol. 51, No. 10, pp. 1717--1725, October 2004.
  273. I. Golovkin, R. Mancini, S. Louis, Y. Ochi, K. Fujita, H. Nishimura, H. Shirga, N. Miyanaga, H. Azechi, R. Butzbach, I. Uschmann, E. Förster, J. Delettrez, J. Koch, R.W. Lee and L. Klein. Spectroscopic Determination of Dynamic Plasma Gradients in Implosion Cores, Physical Review Letters, Vol. 88, No. 4, January 2002
  274. Carlos Gomes da Silva, João Clímaco and José Figueira. A scatter search method for the bi-criteria multi-dimensional {0,1}-knapsack problem using surrogate relaxation, Journal of Mathematical Modelling and Algorithms, Vol. 3, No. 3, pp. 183--208, 2004.
  275. Carlos Gomes da Silva, João Clímaco and José Figueira. A scatter search method for bi-criteria {0,1}-knapsack problems, European Journal of Operational Research, Vol. 169, No. 2, pp. 373--391, March 1st, 2006 .
  276. Carlos Gomes da Silva, José Figueira and João Clímaco. Integrating partial optimization with scatter search for solving bi-criteria {0,1}-knapsack problems, European Journal of Operational Research, Vol. 177, No. 3, pp. 1656--1677, March 16, 2007 .
  277. Jesús González, Ignacio Rojas, Julio Ortega, Héctor Pomares and Antonio Fco. Díaz. Multiobjective Evolutionary Optimization of the Size, Shape and Position Parameters of Radial Basin Function Networks for Function Approximation, IEEE Transactions on Neural Networks, Vol. 14, No. 6, pp. 1478--1498, November 2003.
  278. S.K. Goudos and J.N. Sahalos. Microwave absorber optimal design using multi-objective particle swarm optimization, Microwave and Optical Technology Letters, Vol. 48, No. 8, pp. 1553--1558, August 2006 .
  279. John Yannis Goulermas and Panos Liatsis. A Collective-Based Adaptive Symbiotic Model for Surface Reconstruction in Area-Based Stereo, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 5, pp. 482--502, October 2003 .
  280. L. Grandinetti, F. Guerriero, G. Lepera and M. Mancini. A niched genetic algorithm to solve a pollutant emission reduction problem in the manufacturing industry: A case study, Computers & Operations Research, Vol. 34, No. 7, pp. 2191--2214, July 2007 .
  281. Marc Gravel, Aaron Luntala Nsakanda and Wilson Price. Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm, European Journal of Operational Research, Vol. 109, pp. 286--298, 1998 .
  282. Marc Gravel, Wilson L. Price, and Caroline Gagné. Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic, European Journal of Operational Research, Vol. 143, No. 1, pp. 218--229, November 2002.
  283. D. Greiner, G. Winter and J.M. Emperador. Optimising frame structures by different strategies of genetic algorithms, Finite Elements in Analysis and Design, Vol. 37, No. 5, pp. 381--402, May 2001.
  284. D. Greiner, J.M. Emperador and G. Winter. Single and multiobjective frame optimization by evolutionary algorithms and the auto-adaptive rebirth operator, Computer Methods in Applied Mechanics and Engineering, Vol. 193,Nos. 33--35, pp. 3711--3743, 2004 .
  285. P.M. Grignon and G.M. Fadel, A GA based configuration design optimization method, Journal of Mechanical Design, Vol. 126, No. 1, pp. 6--15, January 2004.
  286. J.C.J. Groot, W.A.H. Rossing, A. Jellema, D.J. Stobbelaar, H. Renting and M.K. Van Ittersum. Exploring multi-scale trade-offs between nature conservation, agricultural profits and landscape quality--a methodology to support discussions on land-use perspectives, Agriculture Ecosystems & Environment, Vol. 120, pp. 58--69, 2007 .
  287. Sheng-Uei Guan and Shu Zhang. An Evolutionary Approach to the Design of Controllable Cellular Automata Structure for Random Number Generation, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 1, pp. 23--36, February 2003 .
  288. P.-Y. Gueugniaud, M. Bertin-Maghit, C. Hirschauer, C. Bouchard, B. Vilasco, P. Petit, M. Gen, K. Ida, J. Lee, and J. Kim. Fuzzy Nonlinear Goal Programming Using Genetic Algorithm. Computers & Industrial Engineering, 33(1):39-42, October 1997.
  289. Ângela Guimarães Pereira, G. Munda, and M. Pariccini. Generating alternatives for siting retail and service facilities using genetic algorithms and multiple criteria devision techniques. Journal of Retailing and Consumer Services, 1(2):40-47, 1994.
  290. Ângela Guimarães Pereira. Generating alternative routes by multicriteria evaluation and a genetic algorithms. Environment and Planning B: Planning and Design, 23:711-720, 1996.
  291. Frederico G. Guimarães, Felipe Campelo, Rodney R. Saldanha, Hajime Igarashi, Ricardo H.C. Takahashi and Jaime A. Ramírez. A Multiobjective Proposal for the TEAM Benchmark Problem 22, IEEE Transactions on Magnetics, Vol. 42, No. 4, pp. 1471--1474, April 2006 .
  292. S. Gunawan, A. Farhang-Mehr and S. Azarm. On maximizing solution diversity in a multiobjective multidisciplinary genetic algorithm for design optimization, Mechanics Based Design of Structures and Machines, Vol. 32, No. 4, pp. 491--514, November 2004.
  293. S. Gunawan and S. Azarm. Multi-objective robust optimization using a sensitivity region concept, Structural and Multidisciplinary Optimization, Vol. 29, No. 1, pp. 50--60, January 2005 .
  294. Y. Guo, G.A. Walters, S. T. Khu and E. Keedwell. A novel cellular automata based approach to storm sewer design, Engineering Optimization, Vol. 39, No. 3, pp. 345--364, April 2007 .
  295. H. V. Gupta, S. Sorroshian, and P. O. Yapo. Towards Improved Calibration of Hydrologic Models: Multiple and Non-Commensurable Measures of Information. Water Resources Research, 34(4):751-763, 1998.
  296. M. Gupta, J. Rees, A. Chaturvedi and J. Chi. Matching information security vulnerabilities to organizational security profiles: a genetic algorithm approach, Decision Support Systems, Vol. 41, No. 3, pp. 592--603, March 2006 .
  297. C. Guria, M. Verma, S.P. Mehrotra and S.K. Gupta. Multi-objective optimal synthesis and design of froth flotation circuits for mineral processing, using the jumping gene adaptation of genetic algorithm, Industrial & Engineering Chemistry Research, Vol. 44, No. 8, pp. 2621--2633, April 13, 2005 .
  298. C. Guria, P.K. Bhattacharya and S.K. Gupta. Multi-objective optimization of reverse osmosis desalination units using different adaptations of the non-dominated sorting genetic algorithm (NSGA), Computers & Chemical Engineering, Vol. 29, No. 9, pp. 1977--1995, August 15, 2005 .
  299. C. Guria, M. Verma, S.K. Gupta and S.P. Mehrotra. Simultaneous optimization of the performance of flotation circuits and their simplification using the jumping gene adaptations of genetic algorithm, International Journal of Mineral Processing, Vol. 77, No. 3, pp. 165--185, November 2005 .
  300. Ashwin Gurnani, Scott Ferguson, Kemper Lewis and Joseph Donndelinger. A constraint-based approach to feasibility assessment in preliminary design, AI EDAM-Artificial Intelligence for Engineering Design Analysis and Manufacturing, Vol. 20, No. 4, pp. 351--367, Fall 2006.
  301. H. Altay Güvenir and E. Erel. Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105(1):29-37, February 1998.
  302. H

  303. P. Hajela and C. Y. Lin. Genetic search strategies in multicriterion optimal design. Structural Optimization, 4:99-107, 1992.
  304. Sonia Hajri-Gabouj, A fuzzy genetic multiobjective optimization algorithm for a multilevel generalized assignment problem, IEEE Transactions on Systems, Man, and Cybernetics, Part C---Applications and Reviews, Vol. 33, No. 2, pp. 214--224, May 2003 .
  305. D. Halhal, G. A. Walters, D. Ouazar, and D. A. Savic. Multi-objective improvement of water distribution systems using a structured messy genetic algorithm approach, Journal of Water Resources Planning and Management ASCE, 123(3):137-146, 1997.
  306. S.I. Han, I. Muta, T. Hoshino, T. Nakamura and N. Maki. Optimal design of superconducting generator using genetic algorithm and simulated annealing, IEE Proceedings--Electric Power Applications, Vol. 151, No. 5, pp. 543--554, September 2004.
  307. Julia Handl and Joshua Knowles. Feature Subset Selection in Unsupervised Learning via Multiobjective Optimization, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 217--238, 2006 .
  308. Julia Handl and Joshua Knowles. An Evolutionary Approach to Multiobjective Clustering, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 1, pp. 56--76, February 2007 .
  309. Julia Handl, Douglas B. Kell and Joshua Knowles. Multiobjective optimization in bioinformatics and computational biology, IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 4, No. 2, pp. 279--292, April-June 2007 .
  310. Thomas Hanne. On the convergence of multiobjective evolutionary algorithms. European Journal of Operational Research, 117(3):553-564, 1999.
  311. Thomas Hanne. Global Multiobjective Optimization Using Evolutionary Algorithms. Journal of Heuristics, 6(3):347-360, August 2000.
  312. T. Hanne and S. Nickel. A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects, European Journal of Operational Research, Vol. 167, No. 3, pp. 663--678, December 16, 2005 .
  313. Thomas Hanne. A multiobjective evolutionary algorithm for approximating the efficient set, European Journal of Operational Research, Vol. 176, No. 3, pp. 1723--1734, February 1, 2007 .
  314. M.P. Hansen. Tabu search for multiobjective combinatorial optimization: TAMOCO, Control and Cybernetics, Vol. 29, No. 3, pp. 799--818, 2000.
  315. Michael Pilegaard Hansen. Use of Substitute Scalarizing Functions to Guide a Local Search Based Heuristic: The Case of moTSP, Journal of Heuristics, Vol. 6, pp. 419--431, 2000.
  316. Maciej Hapke, Andrzej Jaszkiewicz, and Roman Slowinski. Pareto Simulated Annealing for Fuzzy Multi-Objective Combinatorial Optimization,Journal of Heuristics, 6(3):329-345, August 2000.
  317. John W. Hartmann, Victoria L. Coverstone-Carroll, and Steven N. Williams. Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm. The Journal of the Astronautical Sciences, 46(3):267-282, July-September 1998.
  318. Christian Haubelt, Thomas Schlichter and Jürgen Teich. Improving Automatic Design Space Exploration by Integrating Symbolic Techniques into Multi-Objective Evolutionary Algorithms, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 239--254, 2006 .
  319. M.H. Hennessy and A.M. Kelley. Using real-valued multi-objective genetic algorithms to model molecular absorption spectra and Raman excitation profiles in solution, Physical Chemistry Chemical Physics, Vol. 6, No. 6, pp. 1085--1095, March 21, 2004.
  320. A. Heredia-Langner, D.C. Montgomery and W.M. Carlyle. Solving a multistage partial inspection problem using genetic algorithms, International Journal of Production Research, Vol. 40, No. 8, pp. 1923--1940, 2002
  321. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga, and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004.
  322. Alberto Herreros, Enrique Baeyens and José R. Peran. MRCD: A Genetic Algorithm for Multiobjective Robust Control Design,Engineering Applications of Artificial Intelligence, Vol. 15, Nos. 3--4, pp. 285--301, June-August 2002.
  323. Alain Hertz, Brigitte Jaumard, C.C. Ribeiro, and W.P. Formosinho Filho. A multi-criteria tabu search approach to cell formation problems in group technology with multiple objectives. RAIRO/Operations Research, 28(3):303-328, 1994.
  324. Magnus Lie Hetland and Pal Saetrom. Evolutionary Rules Mining in Time Series Databases, Machine Learning, Vol. 58, Nos. 2--3, pp. 107--125, February-March 2005.
  325. Tomoyouki Higashihara and Masayasu Atsumi. Evolutionary Acquisition of Sensory--Action Network of Mobile Robot using Multiobjective Genetic Algorithm, IPSJ SIG-ICS, 98-ICS-111:1-6, 1998. In Japanese.
  326. Shinn-Ying Ho and Hui-Ling Huang. Facial modeling from an uncalibrated face image using a coarse-to-fine genetic algorithm, Pattern Recognition, Vol. 34, pp. 1015--1031, 2001.
  327. S.L. Ho, S.Y. Yang, G.Z. Ni and H.C. Wong. A Tabu Method to Find the Pareto Solutions of Multiobjective Optimal Design Problems in Electromagnetics, IEEE Transactions on Magnetics, Vol. 38, No. 2, pp. 1013--1016, Part 1, March 2002 .
  328. Shinn-Ying Ho, Li-Sun Shu and Jian-Hung Chen. Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 6, pp. 522--541, 2004.
  329. S.L. Ho, Shiyou Yang, Guangzheng Ni, Edward W.C. Lo and H.C. Wong. A Particle Swarm Optimization-Based Method for Multiobjective Design Optimizations, IEEE Transactions on Magnetics, Vol. 41, No. 5, pp. 1756--1759, May 2005 .
  330. S.L. Ho, S.Y. Yang, G.Z. Ni and K.F. Wong. An efficient multiobjective optimizer based on genetic algorithm and approximation techniques for electromagnetic design, IEEE Transactions on Magnetics, Vol. 43, No. 4, pp. 1605--1608, April 2007 .
  331. B.M. Hodge, F. Pettersson and N. Chakraborti. Re-evaluation of the optimal operating conditions for the primary end of an integrated steel plant using multi-objective genetic algorithms and Nash equilibrium, Steel Research International, Vol. 77, No. 7, pp. 459--461, July 2006 .
  332. Chao-Tsung Hsiao, Georges Chahine and Nail Gumerov. Application of a Hybrid Genetic/Powell Algorithm and a Boundary Element to Electrical Impedance Tomography, Journal of Computational Physics, Vol. 173, No. 2, pp. 433--454, November 2001.
  333. Chih-Ming Hsu and Chao-Ton Su. Multi-objective machine-component grouping in cellular manufacturing: a genetic algorithm, Production Planning and Control, Vol. 9, No. 2, pp. 155--166, 1998.
  334. J.J. Huang, G.H. Tzeng and C.S. Ong. Optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithms, Expert Systems with Applications, Vol. 30, No. 4, pp. 739--745, May 2005.
  335. V.L. Huang, P.N. Suganthan and J.J. Liang.Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems, International Journal of Intelligent Systems, Vol. 21, No. 2, pp. 209--226, February 2006 .
  336. H.Z. Huang, Y.K. Gu and X.P. Du. An interactive fuzzy multi-objective optimization method for engineering design, Engineering Applications of Artificial Intelligence, Vol. 19, No. 5, pp. 451--460, August 2006 .
  337. Simon Huband, Phil Hingston, Luigi Barone and Lyndon While. A Review of Multiobjective Test Problems and a Scalable Test Problem Toolkit, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 5, pp. 477--506, October 2006 .
  338. R.M. Hubley, E. Zitzler and J.C. Roach, Evolutionary algorithms for the selection of single nucleotide polymorphisms, BMC Bioinformatics, Vol. 4, Art. No. 30, July 23, 2003 .
  339. Evan J. Hughes and Maurice Leyland. Using Multiple Genetic Algorithms to Generate Radar Point-Scatterer Models, IEEE Transactions on Evolutionary Computation, Vol. 4, No. 2, pp. 147--163, July 2000.
  340. Aaron Hula, Kiumars Jalali, Karim Hamza, Steven J. Skerlos and Kazuhiro Saitou. Multi-Criteria Decision-Making for Optimization of Product Disassembly under Multiple Situations, Environmental Science & Technology, Vol. 37, No. 23, pp. 5303--5313, December 1, 2003 .
  341. Chul Ju Hyun, Yeongho Kim and Yeo Keun Kim. A Genetic Algorithm for Multiple Objective Sequencing Problems in Mixed Model Assembly Lines. Computers and Operations Research, Vol. 25, No. 7/8, pp. 675--690, 1998 .
  342. I

  343. Christian Igel, Nikolaus Hansen and Stefan Roth. Covariance Matrix Adaptation for Multi-objective Optimization, Evolutionary Computation, Vol. 15, No. 1, pp. 1--28, Spring 2007 .
  344. B. de la Iglesia, G. Richards, M.S. Philpott and V.J. Rayward-Smith. The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification, European Journal of Operational Research, Vol. 169, pp. 898--917, 2006 .
  345. Hisao Ishibuchi, Tadahiko Murata, and I. B. Tursken. Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems. Fuzzy Sets and Systems, 89(2):135-150, July 1997.
  346. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm and Its Application to Flowshop Scheduling. IEEE Transactions on Systems, Man and Cybernetics---Part C: Applications and Reviews, 28(3):392-403, August 1998.
  347. Hisao Ishibuchi, Tadahiko Murata, and Mitsuo Gen. Performance Evaluation of Fuzzy Rule-Based Classification Systems Obtained by Multi-Objective Genetic Algorithms. Computers & Industrial Engineering, 35(3-4):575-578, December 1998.
  348. Hisao Ishibuchi, Tomoharu Nakashima and Tadahiko Murata. Three-objective genetics-based machine learning for linguistic rule extraction, Information Sciences, Vol. 136, Nos. 1--4, pp. 109--133, August 2001.
  349. Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Balance Between Genetic Search and Local Search in Memetic Algorithms for Multiobjective Permutation Flowshop Scheduling, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 204--223, April 2003 .
  350. Hisao Ishibuchi and Takashi Yamamoto. Fuzzy Rule Selection by Multi-Objective Genetic Local Search Algorithms and Rule Evaluation Measures in Data Mining, Fuzzy Sets and Systems, Vol. 141, No. 1, pp. 59--88, January 2004.
  351. H. Ishibuchi and S. Kaige. Implementation of Simple Multiobjective Memetic Algorithms and Its Application to Knapsack Problems, International Journal of Hybrid Intelligent Systems, Vol. 1, pp. 22--35, 2004.
  352. Hisao Ishibuchi and Yusuke Nojima. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning, International Journal of Approximate Reasoning, Vol. 44, No. 1, pp. 4--31, January 2007 .
  353. K. Ito, S. Akagi, and M. Nishikawa. A multiobjective optimization approach to a design problem of heat insulation for thermal distribution piping network systems. Journal of Mechanisms, Transmissions and Automation in Design (Transactions of the ASME), 105:206-213, jun 1983.
  354. J

  355. Jacob T. Jackson, Gregg H. Grunsch, Roger L.Claypoole Jr. and Gary B. Lamont. Blind Steganography Detection Using a Computational Immune System: A Work in Progress, International Journal of Digital Evidence, Vol. 4, No. 1, Winter 2003.
  356. S.R. Jangam and N. Chakraborti. A novel method for alignment of two nucleic acid sequences using ant colony optimization and genetic algorithms, Applied Soft Computing, Vol. 7, No. 3, pp. 1121--1130, June 2007 .
  357. Andrzej Jaszkiewicz. A metaheuristic approach to multiple objective nurse scheduling. Foundations of Computing and Decision Sciences, 22(3):169-184, 1997.
  358. Andrzej Jaszkiewicz, Comparison of Local Search-Based Metaheuristics on the Multiple Objective Knapsack Problem, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp. 99--120, 2001.
  359. Andrzej Jaszkiewicz. On the Performance of Multiple-Objective Genetic Local Search on the 0/1 Knapsack Problem---A Comparative Experiment, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 4, pp. 402--412, August 2002
  360. Andrzej Jaszkiewicz. Genetic local search for multiple objective combinatorial optimization, European Journal of Operational Research, Vol. 137, No. 1, pp. 50--71, 2002 .
  361. Andrzej Jaszkiewicz. Do Multiple-Objective Metaheuristics Deliver on Their Promises? A Computational Experiment on the Set-Covering Problem, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 133--143, April 2003 .
  362. Andrzej Jaszkiewicz. On the computational efficiency of multiple objective metaheuristics. The knapsack problem case study, European Journal of Operational Research, Vol. 158, No. 2, pp. 418--433, October 16, 2004.
  363. Andrzej Jaszkiewicz. A Comparative Study of Multiple-Objective Metaheuristics on the Bi-Objective Set Covering Problem and the Pareto Memetic Algorithm, Annals of Operations Research, Vol. 131, Nos. 1--4, pp. 135--158, October 2004.
  364. Mikkel T. Jensen. Reducing the Run-Time Complexity of Multiobjective EAs: The NSGA-II and Other Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 5, pp. 503--515, October 2003 .
  365. Shinkyu Jeong, Kazuhisa Chiba and Shigeru Obayashi. Data Mining for Aerodynamic Design Space, Journal of Aerospace Computing, Information, and Communication, Vol. 2, pp. 452--469, November 2005.
  366. L.E. Jeremiah, L.L. Gibson, M. Gen, K. Ida, J. Lee, and J. Kim. Fuzzy Nonlinear Goal Programming Using Genetic Algorithm. Computers and Industrial Engineering, 33(1):39-42, October 1997.
  367. Yi-Min Jiang and Kwang-Ting (Tim) Cheng. Vector Generation for Power Supply Noise Estimation and Verification of Deep Submicron Designs, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 9, No. 2, pp. 329--340, April 2001.
  368. F. Jiménez and J. M. Cadenas. An evolutionary program for the multiobjective solid transportation problem with fuzzy goals. Operations Research and Decisions, 2:5-20, 1995.
  369. F. Jimenez, J.M. Cadenas, G. Sanchez, A.F. Gomez-Skarmeta and J.L. Verdegay, Multi-objective evolutionary computation and fuzzy optimization, International Journal of Approximate Reasoning, Vol. 43, No. 1, pp. 59--75, September 2006 .
  370. Yaochu Jin, Werner von Seelen, and Bernhard Sendhoff. On generating flexible, complete, consistent and compact(FC) fuzzy rule systems from data using evolution strategies, IEEE Transactions on Systems, Man, and Cybernetics, 29(4):829-845, 1999.
  371. D.F. Jones, S.K. Mirrazavi and M. Tamiz. Multi-objective metaheuristics: An overview of the current state-of-the-art, European Journal of Operational Research, Vol. 137, No. 1, pp. 1--9, February 2002 .
  372. K

  373. R. Kachhap and C. Guria. Multi-objective optimization of a batch copoly(ethylene-polyoxyethylene terephthalate) reactor using different adaptations of nondominated sorting genetic algorithm, Macromolecular Theory and Simulations, Vol. 14, No. 6, pp. 358--373, July 19, 2005 .
  374. Imed Kacem, Slim Hammadi and Pierre Borne. Approach by Localization and Multiobjective Evolutionary Optimization for Flexible Job-Shop Scheduling Problems, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 32, No. 1, pp. 1--13, February 2002 .
  375. Masahiro Kanazaki, Shigeru Obayashi and Kazuhiro Nakahashi. Exhaust Manifold Design with Tapered Pipes using Divided Range MOGA, Engineering Optimization, Vol. 36, No. 2, pp. 149--163, April 2004.
  376. Marios K. Karakasis and Kyriakos C. Giannakoglou. On the use of metamodel-assisted, multi-objective evolutionary algorithms, Engineering Optimization, Vol. 38, No. 8, pp. 941--957, December 2006 .
  377. Idris Karen, Ali Riza Yildiz, Necmettin Kaya, Nursel Öztürk, and Ferruh Öztürk. Hybrid approach for genetic algorithm and Taguchi's method based design optimization in automotive industry, International Journal of Production Research, Vol. 44 , No. 22, pp. 4897--4914, 2006.
  378. Yigit Karpat and Tugrul Özel. Swarm-Intelligent Neural Network System (SINNS) Based Multi-Objective Optimization of Hard Turning, Transactions of North American Manufacturing Research Institute, pp. 9--16, Vol. 34, 2006.
  379. R.B. Kasat, D. Kunzru, D.N. Saraf and S.K. Gupta. Multiobjective optimization of industrial FCC units using elitist nondominated sorting genetic algorithm, Industrial & Engineering Chemistry Research, Vol. 41, No. 19, pp. 4765--4776, September 2002.
  380. K.B. Kasat, A.K. Ray and S.K. Gupta. Applications of genetic algorithm in polymer science and engineering, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 523--532, 2003.
  381. K.B. Kasat and S.K. Gupta. Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator, Computers & Chemical Engineering, Vol. 27, No. 12, pp. 1785--1800, December 2003.
  382. Kosuke Kato, Masatoshi Sakawa, and Toshinori Ikegame. Interactive Decision Making for Multiobjective Block Angular 0-1 Programming Problems with Fuzzy Parameters Through Genetic Algorithms. Japanese Journal of Fuzzy Theory and Systems, 9(1):49-59, 1997.
  383. Kosuke Kato and Masatoshi Sakawa. An interactive fuzzy satisficing method for large scale multiobjective 0-1 programming problems with fuzzy parameters through genetic algorithms. European Journal of Operational Research, 107(3):590-598, June 1998.
  384. Kosuke Kato, Masatoshi Sakawa, and Toshinori Ikegame. An Interactive Fuzzy Criteria Method for Multiobjective 0-1 Programming Problems with Block Angular Structure Using Genetic Algorithms. Electronics and Communications in Japan, 81(8):10-17, 1998.
  385. Mehmet Kaya. Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules, Soft Computing: A Fusion of Foundations, Methodologies and Applications, Vol. 10, No. 7, pp. 578--586, May 2006 .
  386. Edward Keedwell and Soon-Thiam Khu. A novel evolutionary meta-heuristic for the multi-objective optimization of real-world water distribution network, Engineering Optimization, Vol. 38, No. 3, pp. 319--336, April 2006 .
  387. Robert H. Kewley and Mark J. Embrechts. Computational Military Tactical Planning System, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 32, No. 2, pp. 161--171, May 2002 .
  388. Sahnan A. Khan and Andries P. Engelbrecht. A new fuzzy operator and its application to topology design of distributed local area networks, Information Sciences, Vol. 177, No. 13, pp. 2692--2711, July 1, 2007 .
  389. E.F. Khor, K.C. Tan, T.H. Lee and C.K. Goh. A study on distribution preservation mechanism in evolutionary multi-objective optimization, Artificial Intelligence Review, Vol. 23, No. 1, pp. 31--56, May 2005 .
  390. Taghi Khoshgoftaar, Yi Liu and Naeem Seliya. A Multiobjective Module-Order Model for Software Quality Enhancement, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 6, pp. 593--608, 2004.
  391. Yasuhiro Kida, Hiroshi Kawamura, Akinori Tani and Atsushi Takizawa. Multi-Objective Optimization of Spatial Truss Structures by Genetic Algorithm, Forma, Vol. 15, No. 2, pp. 133--139, 2000.
  392. J.-H. Kim and K.-C. Kim. Multicriteria Fuzzy Control Using Evolutionary Programming. Information Sciences, 103(1):71-86, December 1997.
  393. Min-Kyu Kim, Cheol-Gyun Lee, and Hyun-Kyo Jung. Multiobjective Optimal Design of Three-Phase Induction Motor Using Improved Evolution Strategy. IEEE Transactions on Magnetics, 34(5):2980-2983, September 1998.
  394. Y.-J. Kim and J. Ghaboussi. A New Method of Reduced Order Feedback Control Using Genetic Algorithms. Earthquake Engineering and Structural Dynamics, 28(2):193-212, 1999.
  395. K.J. Kim and R.L. Smith. Systematic procedure for designing processes with multiple environmental objectives, Environmental Science & Technology, Vol. 39, No. 7, pp. 2394--2405, April 1, 2005.
  396. H.S. Kim and P.N. Roschke. Fuzzy control of base-isolation system using multi-objective genetic algorithm, Computer-Aided Civil and Infrastructure Engineering, Vol. 21, No. 6, pp. 436--449, August 2006 .
  397. T. Kiyota, Y. Tsuji and E. Kondo,Unsatisfying functions and multiobjective fuzzy satisficing design using genetic algorithms, IEEE Transactions on Systems, Man, and Cybernetics Part B-Cybernetics, Vol. 33, No. 6, pp. 889--897, December 2003 .
  398. Kathrin Klamroth and Jorgen Tind. Constrained optimization using multiple objective programming, Journal of Global Optimization, Vol. 37, No. 3, pp. 325--355, March 2007 .
  399. Joshua D. Knowles and David W. Corne. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Draft Version), Evolutionary Computation, 8(2):149-172, 2000 (Final version obtainable from MIT press)
  400. Joshua D. Knowles, Martin J. Oates, and David W. Corne. Multiobjective Evolutionary Algorithms Applied to two Problems in Telecommunications, BT Technology Journal, 18(4):51-64, October 2000.
  401. Joshua D. Knowles and David W. Corne. Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm, European Journal of Operational Research, Volume 143, Issue 3, pp. 543--547, December 2002.
  402. Joshua Knowles and David Corne. Properties of an Adaptive Archiving Algorithm for Storing Nondominated Vectors, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 100--116, April 2003 .
  403. Joshua Knowles. ParEGO: A Hybrid Algorithm With On-Line Landscape Approximation for Expensive Multiobjective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 1, pp. 50--66, February 2006 .
  404. Shigenobu Kobayashi, Koji Yoshida, and Masayuki Asada. Generating a Set of Pareto Optimal Decision Trees by Genetic Algorithms, Journal of the Japanese Society for Artificial Intelligence, 11(5):725-732, September 1996.
  405. Esra Köktener Karasakal and Murat Köksalan. A Simulated Annealing Approach to Bicriteria Scheduling Problems on a Single Machine. Journal of Heuristics, 6(3):311-327, August 2000.
  406. Joshua B. Kollat and Patrick M. Reed. Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design, Advances in Water Resources, Vol. 29, No. 6, pp. 792--807, June 2006 .
  407. J.B. Kollat and P.M. Reed. A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications, Advances in Water Resources, Vol. 30, No. 3, pp. 408--419, March 2007 .
  408. Abdullah Konak and Alice E. Smith. Capacitated Network Design Considering Survivability: An Evolutionary Approach, Engineering Optimization, Vol. 36, No. 2, pp. 189--205, April 2004.
  409. A. Konak, D.W. Coit and A.E. Smith. Multi-objective optimization using genetic algorithms: A tutorial, Reliability Engineering & System Safety, Vol. 91, No. 9, pp. 992--1007, September 2006 .
  410. Eric M. Koper, William D. Wood and Stephen W.Schneider. Aircraft antenna coupling minimization using genetic algorithms and approximations, IEEE Transactions on Aerospace and Electronic Systems, Vol. 40, No. 2, pp. 742--751, April 2004.
  411. Allunu Gopala Krishna and K. Mallikarjuna Rao. Multi-objective optimisation of surface grinding operations using scatter search approach, International Journal of Advanced Manufacturing Technology, Vol. 29, No. 5, pp. 475--480, June 2006.
  412. Sadan Kulturel-Konak, Alice E. Smith and Bryan A. Norman. Multi-objective tabu search using a multinomial probability mass function, European Journal of Operational Research, Vol. 169, pp. 918--931, 2006 .
  413. Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. Kybernetika, 34(4):435-442, 1998.
  414. Rajeev Kumar and Peter Rockett. Multiobjective Genetic Algorithm Partitioning for Hierarchical Learning of High-Dimensional Pattern Spaces: A Learning-Follows-Decomposition Strategy. IEEE Transactions on Neural Networks, 9(5):822-830, 1998.
  415. Rajeev Kumar and Peter Rockett. Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm, Evolutionary Computation, Vol. 10, No. 3, pp. 283--314, Fall 2002.
  416. A. Kumar, D. Sahoo, S. Chakraborty and N. Chakraborti. Gas injection in steelmaking vessels: Coupling a fluid dynamic analysis with a genetic algorithms-based pareto-optimality, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 363--379, 2005 .
  417. R. Kumar and N. Banerjee. Analysis of a Multiobjective Evolutionary Algorithm on the 0-1 knapsack problem, Theoretical Computer Science, Vol. 358, No. 1, pp. 104--120, July 31, 2006 .
  418. P. Kumar, D. Gospodaric and P. Bauer. Improved genetic algorithm inspired by biological evolution, Soft Computing, Vol. 11, No. 10, pp. 923--941, August 2007 .
  419. M. Kumral. Application of chance-constrained programming based on multi-objective simulated annealing to solve a mineral blending problem, Engineering Optimization, Vol. 35, No. 6, pp. 661--673, December 2003 .
  420. M.A. Kupinski and M.A. Anastasio. Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating Receiver Operating Characteristic Curves, IEEE Transactions on Medical Imaging, Vol. 18, No. 8, pp. 675--685, 1999 .
  421. A. Kurpati and S. Azarm. Immune Network Simulation with Multiobjective Genetic Algorithms for Multidisciplinary Design Optimization. Engineering Optimization, 33:245-260, 2000 .
  422. A. Kurpati, S. Azarm and J. Wu. Constraint handling improvements for multi-objective genetic algorithms, Structural and Multidisciplinary Optimization, Vol. 23, No. 3, pp. 204--213, April 2002 .
  423. A.S. Kurup, K. Hidajat and A.K. Ray. Comparative study of modified simulated moving bed systems at optimal conditions for the separation of ternary mixtures of xylene isomers, Industrial & Engineering Chemistry Research, Vol. 45, No. 18, pp. 6251--6265, August 30, 2006 .
  424. L

  425. P. Lacomme, C. Prins and M. Sevaux. A genetic algorithm for a bi-objective capacitated arc routing problem, Computers & Operations Research, Vol. 33, No. 12, pp. 3473--3493, December 2006 .
  426. N.D. Lagaros, V. Plevris and M. Papadrakakis. Multi-objective design optimization using cascade evolutionary computations, Computer Methods in Applied Mechanics and Engineering, Vol. 194, Nos. 30--33, pp. 3496--3515, 2005 .
  427. Nikos D. Lagaros and Manolis Papadrakakis. Robust seismic design optimization of steel structures, Structural and Multidisciplinary Optimization, Vol. 33, No. 6, pp. 457--469, June 2007 .
  428. Michael Lahanas. Anatomy-based three-dimensional dose optimization in brachytherapy using multiobjective genetic algorithms, Medical Physics, Vol. 26, No. 9, pp. 1904--1918, September 1999.
  429. Michael Lahanas, Eduard Schreibmann and Dimos Baltas. Multiobjective inverse planning for intensity modulated radiotherapy with constraint-free gradient-based optimization algorithms, Physics in Medicine and Biology, Vol. 48, pp. 2843--2871, September 2003.
  430. M. Lahanas, D. Baltas and S. Giannouli. Global convergence analysis of fast multiobjective gradient based dose optimization algorithms for high-dose-rate brachytherapy, Physics in Medicine and Biology, Vol. 48, No. 5, pp. 599--617, March 2003.
  431. J.W. Large, D.F. Jones and M. Tamiz. Hyper-spherical inversion transformations in multi-objective evolutionary optimization, European Journal of Operational Research, Vol. 177, No. 3, pp. 1678--1702, March 16, 2007 .
  432. Marco Laumanns, Lothar Thiele, Kalyanmoy Deb and Eckart Zitzler. Combining Convergence and Diversity in Evolutionary Multi-objective Optimization, Evolutionary Computation, Vol. 10, No. 3, pp. 263--282, Fall 2002 .
  433. Marco Laumanns, Lothar Thiele and Eckart Zitzler, Running Time Analysis of Multiobjective Evolutionary Algorithms on Pseudo-Boolean Functions, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 2, pp. 170--182, April 2004.
  434. M. Laumanns and N. Laumanns. Evolutionary multiobjective design in automotive development, Applied Intelligence, Vol. 23, No. 1, pp. 55--70, July 2005 .
  435. Marco Laumanns, Lothar Thiele and Eckart Zitzler. An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method, European Journal of Operational Research, Vol. 169, pp. 932--942, 2006 .
  436. M. Lavagna, A. Povoleri and A.E. Finzi.Interplanetary mission design with aero-assisted manoeuvres multi-objective evolutive optimization, Acta Astronautica, Vol. 57, Nos. 2--8, pp. 498--509, July-October 2005.
  437. A. Lazzaretto and A. Toffolo. Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design, Energy, Vol. 29, No. 8, pp. 1139--1157, June 2004.
  438. Jongsoo Lee and Prabhat Hajela. Parallel Genetic Algorithm Implementation in Multidisciplinary Rotor Blade Design. Journal of Aircraft, 33(5):962-969, September-October 1996.
  439. Dongkon Lee. Multiobjective Design of a Marine Vehicle with Aid of Design Knowledge. International Journal for Numerical Methods in Engineering, 40:2665-2677, 1997.
  440. Shi Lei and Yao Pingjing. Multi-objective Evolutionary Algorithms for MILP and MINLP in Process Synthesis, Chinese Journal of Chemical Engineering, Vol. 9,No. 2, pp. 173--178, May 2001.
  441. Yiu-Wing Leung and Yuping Wang. Multiobjective Programming Using Uniform Design and Genetic Algorithm, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 30, No. 3, pp. 293--304, August 2000 .
  442. J.C. Leyva and E. Fernández. A genetic algorithm for deriving final ranking from a fuzzy outranking relation. Foundations of Computing and Decision Sciences, 24(1):33-47, 1999.
  443. Juan Carlos Leyva-López and Eduardo Fernández-González. A new method for group decision support based on ELECTRE III methodology, European Journal of Operational Research, Vol. 148, No. 1, pp. 14--27, July 2003 .
  444. Yinzhen Li, Kenichi Ida, and Mitsuo Gen. Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers. Computers in Industrial Engineering, 33(3-4):589-592, 1997.
  445. Xiaodong Li, Tianzi Jiang, and D. J. Evans. Medical Image Reconstruction Using a Multi-objective Genetic Local Search Algorithm. International Journal on Computer Mathematics, 74(301-314), 2000.
  446. J. Li and N. Satofuka. Optimization design of a compressor cascade airfoil using a Navier-stokes solver and genetic algorithms, Proceedings of the Institution of Mechanical Engineering Part A---Journal of Power and Energy, Vol. 216, No. A2, pp. 195--202, 2002 .
  447. Jian-Ping Li, Marton E. Balazs, Geoffrey T. Parks and P. John Clarkson. A Species Conserving Genetic Algorithm for Multimodal Function Optimization, Evolutionary Computation, Vol. 10, No. 3, pp. 207--234, Fall 2002.
  448. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff and Bu Sung Lee. Inverse multi-objective evolutionary design, Genetic Programming and Evolvable Machines, Vol. 7, No. 4, pp. 383--404, December 2006 .
  449. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff and Bu-Sung Lee. Efficient Hierarchical Parallel Genetic Algorithms using Grid Computing, Future Generation Computer Systems, Vol. 23, No. 4, pp. 658--670, May 2007 .
  450. Chunlu Liu, Amin Hammad, and Yoshito Itoh. Multiobjective Optimization of Bridge Deck Rehabilitation Using a Genetic Algorithm. Journal of Computer-Aided Civil and Infrastructure Engineering, 12(3):431-443, November 1997.
  451. Xiaojian Liu, D. W. Begg, and R. J. Fishwick. Genetic approach to optimal topology/controller design of adaptive structures. International Journal for Numerical Methods in Engineering, 41:815-830, 1998.
  452. G.P. Liu and V. Kadirkamanathan. Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms, IEE Proceedings on Control Theory and Applications, Vol. 146, No. 5, pp. 373--382, September 1999.
  453. Min Liu and Dan M. Frangopol. Optimizing bridge network maintenance management under uncertainty with conflicting criteria: Life-cycle maintenance, failure, and user costs, Journal of Structural Engineering--ASCE, Vol. 132, No. 11, pp. 1835--1845, November 2006 .
  454. Xavier Llorà and David E. Goldberg, Bounding the Effect of Noise in Multiobjective Learning Classifier Systems, Evolutionary Computation, Vol. 11, No. 3, pp. 279--298, Fall 2003 .
  455. Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for Capacitated Multipoint Network Design Problem, IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 30(3):461-470, June 2000.
  456. Antonio López Jaimes and Carlos A. Coello Coello. MRMOGA: A New Parallel Multi-Objective Evolutionary Algorithm Based on the Use of Multiple Resolutions, Concurrency and Computation: Practice and Experience, Vol. 19, No. 4, pp. 397--441, March 25, 2007 .
  457. Daniel H. Loughlin, S. Ranji Ranjithan, E. Downey Brill Jr. and John W. Baugh Jr. Genetic Algorithm Approaches for Addressing Unmodeled Objectives in Optimization Problems, Engineering Optimization, Vol. 33, pp. 549--569, 2001 .
  458. Taicir Loukil, Jacques Teghem and Philippe Fortemps. A multi-objective production scheduling case study solved by simulated annealing, European Journal of Operational Research, Vol. 179, No. 3, pp. 709--722, June 2007 .
  459. H.R. Lourenço, J.P. Paixâo and R. Portugal. Multiobjective metaheuristics for the bus-driver scheduling problem, Transportation Science, Vol. 35, No. 3, pp. 331--343, August 2001.
  460. Haiming Lu and Gary G. Yen. Rank-Density-Based Multiobjective Genetic Algorithm and Benchmark Test Function Study, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 4, pp. 325--343, August 2003 .
  461. Panta Lucic and Dusan Teodorovic. Simulated annealing for the multi-objective aircrew rostering problem. Transportation Research Part A, 33:19-45, 1999 .
  462. Guan-Chun Luh, Chung-Huei Chueh and Wei-Wen Liu. MOIA: Multi-Objective Immune Algorithm, Engineering Optimization, Volume 35, No. 2, pp. 143--164, April 2003 .
  463. Guan-Chun Luh and Chung-Huei Chueh. Multi-objective optimal design of truss structure with immune algorithm, Computers and Structures, Vol. 82, pp. 829--844, 2004.
  464. F. Luna, A.J. Nebro and E. Alba. Observations in using Grid-enabled technologies for solving multi-objective optimization problems, Parallel Computing, Vol. 32, Nos. 5-6, pp. 377--393, June 2006 .
  465. L. Luo, P.K. Kannan, B. Besharati and S. Azarm. Design of robust new products under variability: Marketing meets design, Journal of Product Innovation Management, Vol. 22, No. 2, pp. 177--192, March 2005.
  466. N. Lyu and K. Saitou. Decomposition-based assembly synthesis of a three-dimensional body-in-white model for structural stiffness, Journal of Mechanical Design, Vol. 127, No. 1, pp. 34--48, January 2005 .
  467. N. Lyu and K. Saitou. Topology optimization of multicomponent beam structure via decomposition-based assembly synthesis, Journal of Mechanical Design, Vol. 127, No. 2, pp. 170--183, March 2005 .
  468. M

  469. J.T. Ma and L.L. Lai. Evolutionary programming approach to reactive power planning, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 4, pp. 365--370, July 1996.
  470. Hakim Mabed, Alexandre Caminada and Jin-Kao Hao. Impact of tradeoff between blocking and interference on TDMA cell capacity planning, International Journal on Mobile Network Design and Innovation, Vol. 1, No. 1, pp. 24--33, 2005.
  471. Y.L. Abdel-Magid and M.A. Abido. Optimal Multiobjective Design of Robust Power System Stabilizers Using Genetic Algorithms, IEEE Transactions on Power Systems, Vol. 18, No. 3, pp. 1125--1132, August 2003 .
  472. M. Mahfouf and D.A. Linkens and M.F. Abbod. Multi-objective genetic optimisation of GPC and SOFLC tuning parameters using a fuzzy-based ranking method, IEE Proceedings on Control Theory and Applications, Vol. 147, No. 3, pp. 344--354, May 2000.
  473. M. Mahfouf, M. Jamei and D.A. Linkens. Optimal design of alloy steels using multiobjective genetic algorithms, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 553--567, 2005 .
  474. S. Majumdar, K. Mitra and G. Sardar. Kinetic Analysis & Optimization for the Catalytic Esterification Step of PPT Polymerization, Macromolecular Theory and Simulations, Vol. 14, pp. 49--59, 2005 .
  475. Raino A.E. Mäkinen, Jacques Periaux and Jari Toivanen. Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms, International Journal for Numerical Methods in Fluids, Vol. 30, No. 2, pp. 149--159, May 1999.
  476. B. Malakooti, J. Wang and E.C. Tandler. A sensor-based accelerated approach for multi-attribute machinability and tool life evaluation, International Journal of Production Research, Vol. 28, pp. 23--73, 1990.
  477. Joël M. Malard. A role for Pareto optimality in mining performance data, Computation & Concurrency: Practice and Experience, Vol. 17, pp. 1--21, 2005 .
  478. J.M. Malard, A. Heredia-Langner, W.R. Cannon, R. Mooney and D.J. Baxter. Peptide identification via constrained multi-objective optimization: Pareto-based genetic algorithms, Concurrency and Computation---Practice \& Experience, Vol. 17, No. 14, pp. 1687--1704, December 10, 2005 .
  479. S.A. Mansouri, S.M. Moattar-Husseini and S.T. Newman. A review of the modern approaches to multi-criteria cell design, International Journal of Production Research, Vol. 38, No. 5, pp. 1201--1218, 2000 .
  480. S.A. Mansouri, S.M. Moattar-Husseini and S.H. Zegordi. A genetic algorithm for multiple objective dealing with exceptional elements in cellular manufacturing, Production Planning & Control, Vol. 14, No. 5, pp. 437--446, 2003 .
  481. S.A. Mansouri. A Multi-Objective Genetic Algorithm for mixed-model sequencing on JIT assembly lines, European Journal of Operational Research, Vol. 167, No. 3, pp. 696-716, 2005 .
  482. S. Afshin Mansouri. Coordination of set-ups between two stages of a supply chain using multi-objective genetic algorithms,International Journal of Production Research, Vol. 43, No. 15, pp. 3163--3180, 2005 .
  483. Darío Maravall and Javier de Lope. Multi-objective dynamic optimization with genetic algorithms for automatic parking, Soft Computing, Vol. 11, No. 3, pp. 249--257, February 2007 .
  484. Simon Mardle, Sean Pascoe, and Mehrdad Tamiz. An Investigation of Genetic Algorithms for the Optimization of Multi-objective Fisheries Bioeconomic Models, International Transactions of Operations Research, Vol. 7, No. 1, pp. 33--49, 2000 .
  485. Richard Marett and Mike Wright. A Comparison of Neighborhood Search Techniques for Multi-Objective Combinatorial Problems, Computers and Operations Research, Vol. 23, No. 5, pp. 465--483, 1996.
  486. Carlos E. Mariano-Romero, Víctor H. Alcocer-Yamanaka and Eduardo F. Morales. Multi-objective optimization of water-using systems, European Journal of Operational Research, Vol. 181, No. 3, pp. 1691--1707, 16 September, 2007 .
  487. Marzio Marseguerra, Enrico Zio and Maruizio Cipollone. Designing optimal degradation tests via multi-objective genetic algorithms, Reliability Engineering & System Safety, Vol. 79, No. 1, pp. 87--94, January 2003 .
  488. E.T. Martin, R.A. Hassan and W.A. Crossley. Comparing the N-branch genetic algorithm and the multi-objective genetic algorithm, AIAA Journal, Vol. 42, No. 7, pp. 1495--1500, July 2004 .
  489. J. Martin, C. Bielza and D.R. Insua. Approximating nondominated sets in continuous multiobjective optimization problems, Naval Research Logistics, Vol. 52, No. 5, pp. 469--480, August 2005 .
  490. Miguel A. Martinez, Javier Sanchis and Xavier Blasco. Multiobjective controller design handling human preferences, Engineering Applications of Artificial Intelligence, Vol. 19, No. 8, pp. 927--938, December 2006.
  491. A.N. Martinez-Garcia and J. Anderson. Carnico-ICSPEA2 - A metaheuristic co-evolutionary navigator for a complex co-evolutionary farming system, European Journal of Operational Research, Vol. 179, No. 3, pp. 634--655, June 16, 2007 .
  492. Yasuo Matsuyama. Harmonic Competition: A Self-Organizing Multiple Criteria Optimization, IEEE Transactions on Neural Networks, Vol. 7, No. 3, pp. 652--668, May 1996.
  493. K.B. Matthews, K. Buchan, A.R. Sibbald and S. Craw. Combining deliberative and computer-based methods for multi-objective land-use planning, Agricultural Systems, Vol. 87, No. 1, pp. 18--37, January 2006 .
  494. Patrick R. McMullen. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives, Artificial Intelligence in Engineering, Vol. 15, pp. 309--317, 2001 .
  495. A.L. Medaglia, S.-C. Fang and H.L.W. Nuttle. Fuzzy controlled simulation optimization, Fuzzy Sets and Systems, Vol. 127, No. 1, pp. 65--84, 2002.
  496. Andrés L. Medaglia and Shu-Chern Fang. A genetic-based framework for solving (multi-criteria) weighted matching problems, European Journal of Operational Research, Vol. 149, No. 1, pp. 77--101, August 2003.
  497. Andres L. Medaglia, Samuel B. Graves and Jeffrey L. Ringuest. A multiobjective evolutionary approach for linearly constrained project selection under uncertainty, European Journal of Operational Research, Vol. 179, No. 3, pp. 869--894, June 16, 2007 .
  498. J. Mehnen, T. Micheltisch, T. Bartz-Beielstein and K. Schmitt. Evolutionary optimization of mould temperature control strategies: encoding and solving the multiobjective problem with standard evolution strategy and kit for evolution algorithms, Proceedings of the Institution of Mechanical Engineers Part B---Journal of Engineering Manufacture, Vol. 218, No. 6, pp. 657--665, June 2004.
  499. Filippo Menczer, Melania Degeratu, and W. Nick Street. Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms, Evolutionary Computation, 8(2):223-247, Summer 2000.
  500. Eric Michielssen, Jean-Michel Sajer, S. Ranjithan, and Raj Mittra. Design of Lightweight, Broad-Band Microwave Absorbers Using Genetic Algorithms. IEEE Transactions on Microwave Theory and Techniques, 41(6/7):1024-1031, 1993.
  501. Kaisa Miettinen. Using Interactive Multiobjective Optimization in Continuous Casting of Steel, Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 585--593, 2007 .
  502. B. Milosevic and M. Begovic. Nondominated sorting genetic algorithm for optimal phasor measurement placement, IEEE Transactions on Power Systems, Vol. 18, No. 1, pp. 69--75, February 2003 .
  503. S.K. Mirrazavi, D.F. Jones and M. Tamiz. A comparison of genetic and conventional methods for the solution of integer goal programmes, European Journal of Operational Research, Vol. 132, No. 3, pp. 594--602, August 2001.
  504. S.K. Mirrazavi, S.J. Mardle and M. Tamiz. A two-phase multiple objective approach to university timetabling utilising optimisation and evolutionary solution methodologies, Journal of the Operational Research Society, Vol. 54, No. 11, pp. 1155--1166, November 2003.
  505. S.K. Mirrazavi, D.F. Jones and M. Tamiz. MultiGen: an integrated multiple-objective solution system, Decision Support Systems, Vol. 36, No. 2, pp. 177--187, October 2003.
  506. B. Mirzaeian, M. Moallem, V. Tahani and C. Lucas. Multiobjective Optimization Method Based on a Genetic Algorithm for Switched Reluctance Motor Design, IEEE Transactions on Magnetics, Vol. 38, No. 3, pp. 1524--1527, May 2002 .
  507. K. Mitra, Kalyanmoy Deb, and Santosh K. Gupta. Multiobjective Dynamic Optimization of an Industrial Nylon 6 Semibatch Reactor Using Genetic Algorithm,Journal of Applied Polymer Science, 69(1):69-87, 1998.
  508. K. Mitra, S. Majumdar and S. Raha. Multiobjective optimization of a semibatch epoxy polymerization process using the elitist genetic algorithm,Industrial & Engineering Chemistry Research, Vol. 43, No. 19, pp. 6055--6063, September 15, 2004 .
  509. K. Mitra and R. Gopinath. Multiobjective Optimization of an Industrial Grinding Operation Using Elitist Nondominated Sorting Genetic Algorithm, Chemical Engineering Science, Vol. 59, No. 2, pp. 385--396, 2004 .
  510. K. Mitra, S. Majumdar and S. Raha. Multiobjective Dynamic Optimization of Epoxy Polymerization Process, Computers and Chemical Engineering, Vol. 28, No. 12, pp. 2583--2594, 2004.
  511. Kishalay Mitra and Saptarishi Majumdar. Multicriteria Optimal Control of Polypropylene Terepthalate Polymerization Reactor, Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 532--540, 2007 .
  512. Julian Molina, Manuel Laguna, Rafael Mart and Rafael Caballero. SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization, INFORMS Journal on Computing, Vol. 19, No. 1, pp. 91--100, January 2007 .
  513. Shengjing Mu, Hongye Su, Yong Gu and Jian Chu. Multi-objective optimization of industrial purified terephthalic acid oxidation process, Chinese Journal of Chemical Engineering, Vol. 11, No. 5, pp. 536--541, October 2003.
  514. Shengjing Mu, Hongye Su, Tao Jia, Yong Gu and Jian Chu. Scalable multi-objective optimization of industrial purified terephthalic acid (PTA) oxidation process, Computers & Chemical Engineering, Vol. 28, No. 11, pp. 2219--2231, October 15, 2004 .
  515. Amitabha Mukerjee, Rita Biswas, Kalyanmoy Deb and Amrit P. Mathur. Multi-objective evolutionary algorithms for the risk-return trade-off in bank-load management, International Transactions in Operational Research, Vol. 9, No. 5, pp. 583--597, September 2002.
  516. Tadahiko Murata, Hisao Ishibuchi, and Hideo Tanaka. Multi-Objective Genetic Algorithm and Its Application to Flowshop Scheduling. Computers and Industrial Engineering Journal, 30(4):957-968, September 1996.
  517. N

  518. Karl Nachtigall and Stefan Voget. Minimizing Waiting Times in Integrated Fixed Interval Timetables by Upgrading Railway Tracks. European Journal of Operational Research, 103:610-627, 1997.
  519. A. Nag, D. Roy Mahapatra and S. Gopalakrishnan. Identification of delamination in composite beams using spectral estimation and a genetic algorithm, Smart Materials and Structures, Vol. 11, No. 6, pp. 899--908, 2002.
  520. Prasanth B. Nair and Andrew J. Keane. Coevolutionary architecture for distributed optimization of complex coupled systems, AIAA Journal, Vol. 40, No. 7, pp. 1434--1443, July 2002 .
  521. O.B. Nakhjavani and M. Ghoreishi. Multi Criteria Optimization of Laser Percussion Drilling Process Using Artificial Neural Network with Genetic Algorithm, Materials and Manufacturing Processes, Vol. 21, pp. 11--18, 2006 .
  522. Dongkyung Nam and Cheol Hoon Park. Multiobjective Simulated Annealing: A Comparative Study to Evolutionary Algorithms, International Journal of Fuzzy Systems, Vol. 2, No. 2, pp. 87--97, 2000.
  523. R. Nandan, R. Rai, R. Jayakanth, S. Moitra, N. Chakraborti and A. Mukhopadhyay. Regulating crown and flatness during hot rolling: A multiobjective optimization study using genetic algorithms, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 459--478, 2005 .
  524. S. Narayanan and S. Azarm. On Improving Multiobjective Genetic Algorithms for Design Optimization. Structural Optimization, 18:146-155, 1999.
  525. N. Nariman-Zadeh, K. Atashkari, A. Jamali, A. Pilechi and X. Yao. Inverse modelling of multi-objective thermodynamically optimized turbojet engines using GMDH-type neural networks and evolutionary algorithms, Engineering Optimization, Vol. 37, No. 5, pp. 437--462, July 2005.
  526. N. Nariman-Zadeh, A. Darvizeh and A. Jamali. Pareto optimization of energy absorption of square aluminium columns using multi-objective genetic algorithms, Proceedings of the Institution of Mechanical Engineers Part B--Journal of Engineering Manufacture, Vol. 220, No. 2, pp. 213--224, February 2006 .
  527. D. Naso, B. Turchiano and C. Meloni. Single and multi-objective evolutionary algorithms for the coordination of serial manufacturing operations, Journal of Intelligent Manufacturing, 17(2):251-270, April 2006.
  528. Antonio J. Nebro, Enrique Alba and Francisco Luna, Multi-objective optimization using grid computing, Soft Computing, Vol. 11, No. 6, pp. 531--540, 2007 .
  529. N. Nedjah and L.M. Mourelle. Evolving Optimal Multi-Objective Hardware using Strength Pareto Evolutionary Algorithms, International Journal of Computers, Systems and Signals, Vol. 6, No. 1, pp. 37--47, 2005.
  530. F. de Toro Negro, J. Ortega, E. Ros, S. Mota, B. Paechter and J.M. Martín. PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation, Parallel Computing, Vol. 30, Nos. 5--6, pp. 721--739, May-June 2004 .
  531. M. Nemec, D.W. Zingg, T.H. Pulliam. Multipoint and multi-objective aerodynamic shape optimization, AIAA Journal, Vol. 42, No. 6, pp. 1057--1065, June 2004 .
  532. Frank Neumann. Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem, European Journal of Operational Research, Vol. 181, No. 3, pp. 1620--1629, 16 September, 2007 .
  533. M.H. Nguyen, H.A. Abbass and R.I. McKay. Stopping criteria for ensemble of evolutionary artificial neural networks, Applied Soft Computing, Vol. 6, No. 1, pp. 100--107, November 2005 .
  534. E. Nobile, F. Pinto and G. Rizzetto. Geometric parameterization and multiobjective shape optimization of convective periodic channels, Numerical Heat Transfer Part B--Fundamentals, Vol. 50, No. 5, pp. 425--453, November 2006 .
  535. O

  536. S. Obayashi, Y. Yamaguchi, and T. Nakamura. Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform. Journal of Aircraft, 34(5):690-693, September-October 1997.
  537. Shigeru Obayashi, Takanori Tsukahara, and Takashi Nakamura. Multiobjective Genetic Algorithm applied to Aerodynamic Design of Cascade Airfoils,IEEE Transactions on Industrial Electronics, 47(1), February 2000.
  538. Shigeru Obayashi, Takanori Tsukahara, and Takashi Nakamura. Multiobjective Evolutionary Computation for Supersonic Wing-Shape Optimization, IEEE Transactions on Evolutionary Computation, 4(2):182-187, July 2000.
  539. P.P. Oh, A.K. Ray and G.P. Rangaiah. Triple-Objective Optimization of an Industrial Hydrogen Plant, Journal of Chemical Engineering in Japan, Vol. 34, pp. 1341--1355, 2001.
  540. Jaewon Oh and Chisu Wu. Genetic-algorithm-based real-time task scheduling with multiple goals, Journal of Systems and Software, Vol. 71, No. 3, pp. 245--258, May 2004 .
  541. Pedro P.B. de Oliveira, Jose C. Bortot and Gina M. B. Oliveira. The best currently known class of dynamically equivalent cellular automata rules for density classification, Neurocomputing, Vol. 70, Nos. 1--3, pp. 35--43, December 2006.
  542. J. Olvander. Robustness considerations in multi-objective optimal design, Journal of Engineering Design, Vol. 16, No. 5, pp. 511--523, October 2005 .
  543. B. Ombuki, B.J. Ross and F. Hanshar. Multi-objective genetic algorithms for vehicle routing problem with time windows, Applied Intelligence, Vol. 24, No. 1, pp. 17--30, February 2006 .
  544. C.S. Ong, H.J. Huang and G.H. Tzeng. A novel hybrid model for portfolio selection, Applied Mathematics and Computation, Vol. 169, No. 2, pp. 1195--1210, October 15, 2005 .
  545. M.S. Osman, M.A. Abo-Sinna and M.K. El-Sayed, An algorithm for solving multi-stage decision making model with multiple fuzzy goals based on genetic algorithms, International Journal of Nonlinear Sciences and Numerical Simulation, Vol. 5, No. 4, pp. 371--385, 2004.
  546. M.S. Osman, M.A. Abo-Sinna and A.A. Mousa. An effective genetic algorithm approach multiobjective resource allocation problems (MORAPs),Applied Mathematics and Computation, Vol. 163, No. 2, pp. 755--768, April 15, 2005 .
  547. Andrzej Osyczka and Sourav Kundu. A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm. Structural Optimization, 10:94-99, 1995.
  548. Andrzej Osyczka and Sourav Kundu. A modified distance method for multicriteria optimization using genetic algorithms. Computers in Industrial Engineering, 30(4):871-882, 1996.
  549. Akira Oyama and Meng-Sing Liou. Multiobjective Optimization of Rocket Engine Pumps using Evolutionary Algorithm, Journal of Propulsion and Power, Vol. 18, No. 3, pp. 528--535, May-June 2002 .
  550. Akira Oyama, Koji Shimoyama and Kozo Fujii. New constraint-handling method for multi-objective and multi-constraint evolutionary optimization, Transactions of the Japan Society for Aeronautical and Space Sciences, Vol. 50, No. 167, pp. 56--62, May 2007 .
  551. Nursel Öztürk, Ali R. Yildiz, Necmettin Kaya and Ferruh Öztürk. Neuro-Genetic Design Optimization Framework to Support the Integrated Robust Design Optimization Process in CE, Concurrent Engineering: Research and Applications, Vol. 14, No. 1, pp. 5--16, March 2006 .
  552. P

  553. N. Palli, S. Azarm, Por Multiple Objectives Decision Making. Journal of Mechanical Design, Transactions of the ASME, 120:678-686, 1998.
  554. M.A. Panduro, D.H. Covarrubias, C.A. Brizuela and F.R. Marante. A multi-objective approach in the linear antenna array design, AEU-International Journal of Electronics and Communications, Vol. 59, No. 4, pp. 205--212, 2005 .
  555. M.A. Panduro, C.A. Brizuela, D. Covarrubias and C. Lopez. A trade-off curve computation for linear antenna arrays using an evolutionary multi-objective approach, Soft Computing, Vol. 10, No. 2, pp. 125--131, January 2006 .
  556. Gregor Papa. An evolutionary approach to chip design: An empirical evaluation, Informacije Midem--Journal of Microelectronics electronic components and materials, pp. 142--148, Vol. 33, No. 3, September 2003 .
  557. M. Papadrakakis, N.D. Lagaros and V. Plevris. Multi-objective optimization of skeletal structures under static and seismic loading, Engineering Optimization, Vol. 34, No. 6, pp. 645--669, December 2002.
  558. Melih Papila, Raphael T. Haftka, Toshikazu Nishida and Mark Sheplak. Piezoresistive Microphone Design Pareto Optimization: Tradeoff Between Sensitivity and Noise Floor, Journal of Microelectromechanical Systems, Vol. 15, No. 6, pp. 1632--1643, December 2006.
  559. Luis Paquete and Thomas Stützle. A study of stochastic local search algorithms for the biobjective QAP with correlated flow matrices, European Journal of Operational Research, Vol. 169, pp. 943--959, 2006 .
  560. Kwang-Wook Park and Donald E. Grierson. Pareto-Optimal Conceptual Design of the Structural Layout of Buildings Using a Multicriteria Genetic Algorithm. Computer-Aided Civil and Infrastructure Engineering, 14(3):163-170, May 1999.
  561. Geoffrey T. Parks. Multiobjective Pressurized Water Reactor Reload Core Design by Nondominated Genetic Algorithm Search. Nuclear Science and Engineering, 124(1):178-187, 1996.
  562. G.T. Parks, J. Li, M.-E. Balazs and I. Miller. An empirical investigation of elitism in multiobjective genetic algorithms, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp. 51--74, 2001
  563. Ian C. Parmee, Dragan Cvetković, Andrew H. Watson, and Christopher R. Bonham. Multiobjective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2):197-222, Summer 2000.
  564. R. Parsons and S.L. Canfield. Developing genetic programming techniques for the design of compliant mechanisms, Structural and Multidisciplinary Optimization, Vol. 24, No. 1, pp. 78--86, August 2002 .
  565. N. García Pedrajas, C. Hervás-Martínez and J. Muñoz-Pérez. Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks), Neural Networks, Vol. 15, No. 10, pp. 1259--1278, December 2002 .
  566. F. Pettersson, N. Chakraborti and H. Saxén. A genetic algorithms based multi-objective neural net applied to noisy blast furnace data, Applied Soft Computing, Vol. 7, pp. 387--397, 2007 .
  567. D.T. Pham and M. Castellani. Evolutionary learning of fuzzy models, Engineering Applications of Artificial Intelligence, Vol. 19, No. 6, pp. 583--592, September 2006 .
  568. S. Phelps and M. Koksalan, An interactive evolutionary metaheuristic for multiobjective combinatorial optimization, Management Science, Vol. 49, No. 12, pp. 1726--1738, December 2003.
  569. Henri Pierreval and Marie-France Plaquin. An Evolutionary Approach of Multicriteria Manufacturing Cell Formation. International Transactions in Operational Research, 5(1):13-25, January 1998.
  570. Francesco di Pierro, Shoon-Thiam Khu and Dragan A. Savic. An Investigation on Preference Order Ranking Scheme for Multiobjective Evolutionary Optimization, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 1, pp. 17--45, February 2007 .
  571. Michael Pilegaard Hansen. Use of Substitute Scalarizing Functions to Guide a Local Search Based Heuristic: The Case of moTSP. Journal of Heuristics, 6(3):419-431, August 2000.
  572. L. Poladian and L.S. Jermiin. Multi-objective evolutionary algorithms and phylogenetic inference with multiple data sets, Soft Computing, Vol. 10, No. 4, pp. 359--368, February 2006 .
  573. S.G. Ponnambalam, P. Aravindan and G. Mogileeswar Naidu. A Multi-Objective Genetic Algorithm for Solving Assembly Line Balancing Problem, International Journal of Advanced Manufacturing Technology, Vol. 16, No. 5, pp. 341--352, 2000.
  574. P.N. Poulos, G.G. Rigatos, S.G. Tzafestas and A.K. Koukos. A Pareto-optimal genetic algorithm for warehouse multi-objective optimization, Engineering Applications of Artificial Intelligence, Vol. 14, pp. 737--749, 2001.
  575. T.D. Prasad and N.-S. Park. Multiobjective Genetic Algorithms for Design of Water Distribution Networks, Journal of Water Resources Planning and Management, Vol. 130, pp. 73--82, 2004.
  576. K.A. Proos, G.P. Steven, O.M. Querin and Y.M. Xie. Multicriterion Evolutionary Structural Optimization using the Weighting and the Global Criterion Methods, AIAA Journal, Vol. 30, pp. 2006--2012, 2001.
  577. Q

  578. Min Qiu. Prioritizing and Scheduling Road Projects by Genetic Algorithm. Mathematics and Computers in Simulation, 43:569-574, 1997.
  579. D. Quagliarella and A. Vicini. Viscous single and multicomponent airfoil design with genetic algorithms, Finite Elements in Analysis and Design, Vol. 37, No. 5, pp. 365--380, May 2001.
  580. Nestor V. Queipo, Joseph A.C. Humphrey and Alfonso Ortega. Multiobjective Optimal Placement of Convectively Cooled Electronic Components on Printed Wiring Boards, IEEE Transactions on Components, Packaging, and Manufacturing Technology---Part A, Vol. 21, No. 1, pp. 142--153, March 1998.
  581. R

  582. S. Raha, S. Majumdar and K. Mitra. Effect of Caustic Addition in Epoxy Polymerization Process: A Single and Multiobjective Evolutionary Approach, Macromolecular Theory and Simulations, Vol. 13, pp. 152--161, 2004.
  583. A.R. Rahimi-Vahed and S.M. Mirghorbani. A multi-objective particle swarm for a flow shop scheduling problem, Journal of Combinatorial Optimization, Vol. 13, No. 1, pp. 79--102, January 2007 .
  584. J.K. Rajesh, S.K. Gupta, G.P. Rangaiah and A.K. Ray. Multiobjective optimization of steam reformer performance using genetic algorithm, Industrial & Engineering Chemistry Research, Vol. 39, No. 3, pp. 706--717, March 2000.
  585. J.K. Rajesh, S.K. Gupta, G.P. Rangaiah and A.K. Ray. Multi-objective optimization of industrial hydrogen plants, Chemical Engineering Science, Vol. 56, No. 3, pp. 999--1010, February 2001.
  586. Ignacio L. Ramírez-Rosado and José L. Bernal-Agustín. Reliability and Cost Optimization for Distribution Networks Expansion Using an Evolutionary Algorithm, IEEE Transactions on Power Systems, Vol. 16, No. 1, pp. 111-118, February 2001 .
  587. Ricardo M. Ramos, Rodney R. Saldanha, Ricardo H.C. Takahashi and Fernando J.S. Moreira. The Real-Biased Multiobjective Genetic Algorithm and Its Application to the Design of Wire Antennas, IEEE Transactions on Magnetics, Vol. 39, No. 3, pp. 1329--1332, May 2003 .
  588. Naveed Ramzan and Werner Witt. Multi-objective optimization in distillation unit: a case study, Canadian Journal of Chemical Engineering, Vol. 84, No. 5, pp. 604--613, October 2006.
  589. A. Rama Mohan Rao and N. Arvind. A scatter search algorithm for stacking sequence optimisation of laminate composites, Composite Structures, Vol. 70, No. 4, pp. 383--402, October 2005.
  590. G. Ravi, Santosh K. Gupta, and M.B. Ray. Multiobjective Optimization of Cyclone Separators Using Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 39, No. 11, pp. 4272--4286, November 2000 .
  591. G. Ravi, Santosh K. Gupta, S. Viswanathan and M.B. Ray. Optimization of Venturi Scrubbers Using Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 41, No. 12, pp. 2988--3002, June 2002 .
  592. Tapabrata Ray, Tai Kang, and Seow Kian Chye. Multiobjective Design Optimization by an Evolutionary Algorithm. Engineering Optimization, Vol. 33, No. 3, pp. 399--424, 2001.
  593. Tapabrata Ray and Kang Tai. An Evolutionary Algorithm with a Multilevel Pairing Strategy for Single and Multiobjective Optimization, Foundations of Computing and Decision Sciences, Vol. 26, pp. 75--98, 2001 .
  594. Tapabrata Ray and K.M. Liew. A Swarm Metaphor for Multiobjective Design Optimization, Engineering Optimization, Vol. 34, No. 2, pp. 141--153, March 2002 .
  595. Ajay K. Ray, P.P. Oh and G.P. Rangaiah. Simulation and multiobjective optimization of an industrial hydrogen plant based on refinery off-gas, Industrial and Engineering Chemistry Research, Vol. 41, No. 9, pp. 2248--2261, May 2002.
  596. Tapabrata Ray and Warren Smith. A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design, Engineering Optimization, Vol. 38, No. 8, pp. 997--1011, December 2006 .
  597. Brian J. Reardon. Optimizing the Hot Isostatic Pressing Process, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 493--508, 2003 .
  598. M. Janga Reddy and D. Nagesh Kumar, An efficient multi-objective optimization algorithm based on swarm intelligence for engineering design, Engineering Optimization, Vol. 39, No. 1, pp. 49--68, January 2007 .
  599. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data, Journal of Hydroinformatics, Vol. 3, No. 2, pp. 71--89, April 2001.
  600. Patrick Reed, Barbara S. Minsker and David E. Goldberg, Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II, Water Resources Research, Vol. 39, No. 7, pp. TNN 2.1--2.5, July 2003 .
  601. Patrick Reed, Joshua B. Kollat and V.K. Devireddy. Using interactive archives in evolutionary multiobjective optimization: A case study for long-term groundwater monitoring design, Environmental Modelling & Software, Vol. 22, No. 5, pp. 683--692, May 2007 .
  602. J. Regnier, B. Sareni and X. Roboam. System optimization by multiobjective genetic algorithms and analysis of the coupling between variables, constraints and objectives, COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 24, No. 3, pp. 805--820, 2005 .
  603. Brahim Rekiek, Pierre de Lit, Fabrice Pellichero, Thomas L'Eglise, Patrick Fouda, Emanuel Falkenauer and Alan Delchambre. A multiple objective grouping genetic algorithm for assembly line design, Journal of Intelligent Manufacturing, Vol. 12, Nos. 5--6, pp. 467--485, 2001.
  604. B. Rekiek, P. De Lit and A. Delchambre. Hybrid Assembly Line Design and User's Preferences, International Journal of Production Research, Vol. 40, No. 5, pp. 1095--1111, March 2002 .
  605. Margarita Reyes-Sierra and Carlos A. Coello Coello. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 287--308, 2006.
  606. J. H. Reynolds and E. D. Ford. Multi-criteria assessment of ecological process models. Ecology, 80(5):538-553, may 1999.
  607. Kazi Shah Nawaz Ripon, Sam Kwong and K. F. Man. A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization, Information Sciences, Vol. 177, No. 2, pp. 632--654, January 15, 2007 .
  608. Brian J. Ritzel, J. Wayland Eheart, and S. Ranjithan. Using genetic algorithms to solve a multiple objective groundwater pollution containment problem. Water Resources Research, 30(5):1589-1603, may 1994.
  609. A.J. Rivera, I. Rojas, J. Ortega and M.J. del Jesus. A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks, Soft Computing, Vol. 11, No. 7, pp. 655--668, May 2007 .
  610. Katya Rodríguez-Vázquez and Peter J. Fleming. Multiobjective Genetic Programming for Non-Linear System Identification, Electronics Letters, 34(9):930-931, 1998.
  611. K. Rodríguez-Vázquez, C.M. Fonseca and P.J. Fleming. , IEEE Transactions on Systems, Man, and Cybernetics---Part A: Systems and Humans, Vol. 34, No. 4, pp. 531--545, July 2004 .
  612. K. Rodriguez-Vazquez and P.J. Fleming. Evolution of mathematical models of chaotic systems based on multiobjective genetic programming, Knowledge and Information Systems, Vol. 8, No. 2, pp. 235--256, August 2005 .
  613. P. Roosen, S. Uhlenbruck and K. Lucas. Pareto optimization of a combined cycle power system as a decision support tool for trading off investment vs. operating costs, International Journal of Thermal Sciences, Vol. 42, No. 6, pp. 553--560, June 2003.
  614. Brian J. Ross and Eduardo Zuviria. Evolving dynamic Bayesian networks with multi-objective genetic algorithms, Applied Intelligence, Vol. 26, No. 1, pp. 13--23, February 2007 .
  615. Abhishek Roy and Sajal K. Das. QM²RO: A QoS-Based Mobile Multicast Routing Protocol Using Multiobjective Genetic Algorithms, Wireless Networks, Vol. 10, No. 3, pp. 271--286, May 2004 .
  616. Bonnie Rubenstein-Montano and Ross A. Malaga. A Weighted Sum Genetic Algorithm to Support Multiple-Party Multi-Objective Negotiations, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 4, pp. 366--377, August 2002
  617. Alex J. Ruiz-Torres, E. Emory Enscore and Russell R. Barton. Simulated Annealing Heuristics for the Average Flow-Time and the Number of Tardy Jobs Bi-Criteria Identical Parallel Machine Problem, Computers and Industrial Engineering, Vol. 33, Nos. 1--2, pp. 257--260, 1997 .
  618. S. Ruzika and M.M. Wiecek. Approximation methods in multiobjective programming, Journal of Optimization Theory and Applications, Vol. 126, No. 3, pp. 473--501, September 2005 .
  619. S

  620. Masatoshi Sakawa, Masahiro Inuiguchi, Hideaki Sunada, and Kazuya Sawada. Fuzzy Multiobjective Combinatorial Optimization Through Revised Genetic Algorithms. Japanese Journal of Fuzzy Theory and Systems, 6(1):77-88, 1994.
  621. Masatoshi Sakawa, Kosuke Kato, and Toshihiro Shibano. Fuzzy Programming For Multiobjective 0-1 Programming Problems Through Revised Genetic Algorithms. European Journal Of Operations Research, 97(1):149-158, 1997.
  622. Masatoshi Sakawa and Toshihiro Shibano. An interactive fuzzy satisficing method for multiobjective 0-1 programming problems with fuzzy numbers through genetic algorithms with double strings. European Journal Of Operations Research, 107(3):564-574, June 1998.
  623. Masatoshi Sakawa, Toshihiro Shibano, and Hidenobu Obata. An Interactive Fuzzy Method for Multiobjective 0-1 Programming Problems with Fuzzy Number Criteria Using Genetic Algorithms. Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 81(8):64-72, 1998.
  624. Masatoshi Sakawa and R. Kubota. Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms. European Journal Of Operations Research, 120(2):393-407, 2000.
  625. D. Salazar, C.M. Rocco and B.J. Galvan. Optimization of constrained multiple-objective reliability problems using evolutionary algorithms, Reliability Engineering & System Safety, Vol. 91, No. 9, pp. 1057--1070, September 2006 .
  626. Daniel E. Salazar and Claudio M. Rocco. Solving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): A reliability application, Reliability Engineering & System Safety, Vol. 92, No. 6, pp. 697--706, June 2007 .
  627. Daniel E. Salazar, Claudio M. Rocco and Enrico Zio. Robust reliability design of a nuclear system by multiple objective evolutionary optimisation, International Journal of Nuclear Knowledge Management, Vol. 2, No. 3, pp. 333--345, 2007 .
  628. L. Saludjian, J. L. Coulomb, and A. Iazbelle. Genetic Algorithm and Taylor Development of the Finite Element Solution for Shape Optimization of Electromagnetic Devices. IEEE Transactions on Magnetics, 34(5):2841-2844, September 1998.
  629. Luis Vicente Santana-Quintero and Carlos A. Coello Coello. An Algorithm Based on Differential Evolution for Multi-Objective Problems, International Journal of Computational Intelligence Research, Vol. 1, No. 2, pp. 151--169, 2005, ISSN 0973-1873.
  630. Ramón Quiza Sardinas, Marcelino Rivas Santana, and Eleno Alfonso Brindis. Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes, in Engineering Applications of Artificial Intelligence, 19(2):127-133, March 2006.
  631. D. Sarkar and J.M. Modak. Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm, Chemical Engineering Science, Vol. 60, No. 2, pp. 481--492, January 2005 .
  632. Ruhul Sarker and Charles Netwon. Solving a Multiple Objective Linear Program using Simulated Annealing, Asia-Pacific Journal of Operational Research, Vol. 18, pp. 109--120, 2001.
  633. R. Sarker, K. Liang and C. Newton. A New Evolutionary Algorithm for Multiobjective Optimization, European Journal of Operational Research, Vol. 140, No. 1, pp. 12--23, 2002 .
  634. Ruhul Sarker and Hussein A. Abbass. Differential evolution for solving multiobjective optimization problems, Asia-Pacific Journal of Operational Research, Vol. 21, No. 2, pp. 225--240, June 2004 .
  635. D. Sasaki, S. Obayashi and K. Nakahashi. Navier-Stokes Optimization of Supersonic Wings with Four Objectives Using Evolutionary Algorithm, Journal of Aircraft, Vol. 39, No. 4, pp. 621--629, 2002.
  636. Kumara Sastry, D.D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding and Jane Owens. Optimization of Semiempirical Quantum Chemistry Methods via Multiobjective Genetic Algorithms: Accurate Photodynamics for Larger Molecules and Longer Time Scales, Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 553--561, 2007 .
  637. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Local dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems, European Journal of Operational Research, Vol. 181, No. 3, pp. 1708--1723, 16 September, 2007 .
  638. Henrik Saxén, Frank Pettersson and Kiran Gunturu. Evolving Nonlinear Time-Series Models of the Hot Metal Silicon Content in the Blast Furnace, Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 577--584, 2007 .
  639. Frank Schlottmann and Detlef Seese. A Hybrid Heuristic Approach to Discrete Multi-Objective Optimization of Credit Portfolios,Computational Statistics & Data Analysis, Vol. 47, No. 2, pp. 373--399, September 1, 2004 .
  640. Frank Schmiedle, Nicole Drechsler, Draniel Große and Rolf Drechsler. Heuristic Learning Based on Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 3, No. 4, pp. 363--388, December 2002.
  641. Volker Schnecke and Oliver Vornberger. Hybrid Genetic Algorithms for Constrained Placement Problems, IEEE Transactions on Evolutionary Computation, 1(4):266-277, November 1997.
  642. Thorsten Schnier, Xin Yao and Pin Liu. Digital Filter Design Using Multiple Pareto Fronts, Soft Computing, Vol. 8, No. 5, pp. 332--343, April 2004 .
  643. Josef Schwarz and Jiri Ocenasek. Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice, Neural Network World, Vol. 11, No. 5, pp. 423--441, 2001.
  644. E. Science, N. Marvin, M. Bower, and R. J. Rowe. An evolutionary approach to constructing prognostic models. Artificial Intelligence in Medicine, 15(2):155-165, February 1999.
  645. Stefan Sette, Luc Boullart, and Lieva Van Langenhove. Optimizing a Production Process by a Neural Network/Genetic Algorithm Approach. Engineering Applications in Artificial Intelligence, 9(6):681-689, 1996.
  646. C. Setzkorn and R.C. Paton. On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems, Biosystems, Vol. 81, No. 2, pp. 101--112, August 2005 .
  647. P.S. Shelokar, S. Adhikari, R. Vakil, V.K. Jayaraman and B.D. Kulkarni. Multi-objective ant algorithm for continuous function optimization: Combination of strength Pareto fitness assignment and thermodynamic clustering, Foundations of Computing and Decision Sciences, Vol. 25, No. 4, pp. 213--229, 2000.
  648. P.S. Shelokar, V.K. Jayaraman and B.D. Kulkarni. Ant algorithm for single and multiobjective reliability optimization problems, Quality and Reliability Engineering International, Vol. 18, No. 6, pp. 497--514, 2002.
  649. Xiaoning Shen and Weili Hu. MONEP: A multi-objective non-uniform evolutionary programming algorithm, Dynamics of Continuous Discrete and Impulsive Systems--Series B--Applications & Algorithms, Vol. 13, pp. 888--892, Part 2, December 2006.
  650. Mun Bo Shim, Tomonari Furukawa and Shinobu Yoshimura. Pareto-based Continuous Evolutionary Algorithms for Multi-objective Optimization, Engineering Computations, Vol. 19, No. 1, pp. 22-48, 2002 .
  651. Yoshiaki Shimizu. Multi-Objective Optimization for Site Location Problems through Hybrid Genetic Algorithm with Neural Networks. Journal of Chemical Engineering of Japan, 32(1):51-58, 1999.
  652. Soo-Yong Shin, In-Hee Lee, Dongmin Kim and Byoung-Tak Zhang. Multiobjective Evolutionary Optimization of DNA Sequences for Reliable DNA Computing, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 2, pp. 143--158, April 2005.
  653. Pradyumn Kumar Shukla and Kalyanmoy Deb. On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods, European Journal of Operational Research, Vol. 181, No. 3, pp. 1630--1652, 16 September, 2007 .
  654. C.M. Silva and E.C. Biscaia. Genetic Algorithm Development for Multi-objective Optimization of Batch Free-Radical Polymerization Reactors, Computers and Chemical Engineering, Vol. 27, pp. 1329--1344, 2003.
  655. Kwee-Bo Sim, Ji-Yoon Kim and Dong-Wook Lee. Game Model Based Co-evolutionary Solution for Multiobjective Optimization Problems, International Journal of Control, Automation, and Systems, Vol. 2, No. 2, pp. 247--255, June 2004.
  656. A. Singh and H.H. Lou. Hierarchical Pareto optimization for the sustainable development of industrial ecosystems, Industrial & Engineering Chemistry Research, Vol. 45, No. 9, pp. 3265--3279, April 26, 2006 .
  657. Pasu Sirisalee, Michael F. Ashby, Geoffrey T. Parks and P. John Clarkson. Multi-Criteria Material Selection in Engineering Design, Advanced Engineering Materials, Vol. 6, Nos. 1--2, pp. 84--92, February 2004.
  658. Maghsud Solimanpur, Prem Vrat and Ravi Shankar. A multi-objective genetic algorithm approach to the design of cellular manufacturing systems,International Journal of Production Research, Vol. 42, No. 7, pp. 1419--1441, April 1, 2004 .
  659. Abhishek Somani, Partha P. Chakrabarti and Amit Patra. An Evolutionary Algorithm-Based Approach to Automated Design of Analog and RF Circuits Using Adaptive Normalized Cost Functions, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 3, pp. 336--353, June 2007 .
  660. C.O.S. Sorzano, R. Marabini, G.T. Herman and J.M. Carazo. Multiobjective algorithm parameter optimization using multivariate statistics in three-dimensional electron microscopy reconstruction, Pattern Recognition, Vol. 38, No. 12, pp. 2587--2601, December 2005 .
  661. Jagabandhu Sridhar and Chandrasekharan Rajendran. Scheduling in Flowshop and Cellular Manufacturing Systems with Multiple Objectives - A Genetic Algorithmic Approach. Production Planning & Control, 7(4):374-382, 1996.
  662. N. Srinivas and Kalyanmoy Deb. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms, Evolutionary Computation, 2(3):221-248, Fall 1994.
  663. D. Srinivasan and A. Tettamanzi. Heuristics-guided evolutionary approach to multiobjective generation scheduling, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 6, pp. 553--559, 1996.
  664. Peter F. Stadler and Christoph Flamm. Barrier Trees on Poset-Valued Landscapes, Genetic Programming and Evolvable Machines, Vol. 4, No. 1, pp. 7--20, March 2003 .
  665. M. Stan and B. Reardon. A Bayesian approach to evaluating the uncertainty of thermodynamic data and phase diagrams, Calphad--Computer Coupling of Phase Diagrams and Thermochemistry, pp. 319--323, Vol. 27, No. 3, September 2003 .
  666. Paul M. Stanfield, Russell E. King, and Thom J. Hodgson. Multi-objective stochastic scheduling of job ready times. Annals of Operations Research, 70:221-239, 1997.
  667. G.E. Stravroulakis and H. Antes. Flaw identification in elastomechanics: BEM simulation with local and genetic optimization, Structural Optimization, 16(2/3):162-175, 1998.
  668. Theodor J. Stewart, Ron Janssen and Marjan van Herwijnen. A genetic algorithm approach to multiobjective land use planning, Computers & Operations Research, Vol. 31, pp. 2293--2313, 2004.
  669. Matthew Streeter and Lee A. Becker. Automated Discovery of Numerical Approximation Formulae via Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 4, No. 3, pp. 255--286, September 2003 .
  670. Balram Suman. Multiobjective simulated annealing--A metaheuristic technique for multiobjective optimization of a constrained problem, Foundations of Computing and Decision Sciences, Vol. 27, No. 3, pp. 171--191, 2002.
  671. Balram Suman. Simulated Annealing-Based Multiobjective Algorithms and Their Application for System Reliability, Engineering Optimization, Vol. 35, No. 4, pp. 391--416, August 2003 .
  672. Balram Suman. Study of simulated annealing based algorithms for multiobjective optimization of a constrained problem, Computers & Chemical Engineering, Vol. 28, pp. 1849--1871, 2004 .
  673. B. Suman. Study of self-stopping PDMOSA and performance measure in multiobjective optimization, Computers & Chemical Engineering,Vol. 29, No. 5, pp. 1131--1147, April 15, 2005.
  674. B. Suman and P. Kumar. A survey of simulated annealing as a tool for single and multiobjective optimization, Journal of the Operational Research Society, Vol. 57, No. 10, pp. 1143--1160, October 2006 .
  675. M. Sun, A. Stam and R. Steuer. Solving multiple objective programming problems using feed-forward artificial neural networks: The interactive FFANN procedure, Management Science, Vol. 42, pp. 835--849, 1996.
  676. M. Sun, A. Stam and R. Steuer. Interactive multiple objective programming using Tchebycheff programs and artificial neural networks, Computers and Operations Research, Vol. 27, pp. 601--620, 2000.
  677. R. Sundararajan, S. Azarm, P. McCluskey, and N. Palli. A Stress Model for Multiobjective Design Optimization of a Power Electronic Module. Mechanics of Structures and Machines, 27(2):163-183, 1999.
  678. A. Suppapitnarm, K.A. Seffen, G.T. Parks andP.J. Clarkson. A simulated annealing algorithm for multiobjective optimization, Engineering Optimization, Vol. 33, No. 1, pp. 59--85, 2000 .
  679. A. Suppapitnarm, G.T. Parks, K. Shea and P.J. Clarkson. Conceptual Design of Bicycle Frames by Multiobjective Shape Annealing, Engineering Optimization, Vol. 36, No. 2, pp. 165--188, April 2004 .
  680. Patrick D. Surry and Nicholas J. Radcliffe. The COMOGA Method: Constrained Optimisation by Multiobjective Genetic Algorithms. Control and Cybernetics, 26(3), pp. 391--412, 1997.
  681. T

  682. Kanta Tachibana and Takeshi Furuhashi. A Structure Identification Method of Submodels for Hierarchical Fuzzy Modelling Using the Multiple Objective Genetic Algorithm, International Journal of Intelligent Systems, Vol. 17, No. 5, pp. 495--513, May 2002 .
  683. T. Tagami and T. Kawabe. Genetic Algorithms using Pareto Partitioning Method for Multiobjective Optimization Problems. Transactions of The Institute of Systems, Control and Information Engineers, 11(11):600-607, 1998. (In Japanese).
  684. Kiyoharu Tagawa, Noboru Wakabayashi, Hiromasa Haneda and Katsumi Inoue. An Imanishism-Based Genetic Algorithm for Sampling Various Pareto-Optimal Solutions: An Application to the Multiobjective Resource Division Problem, Electrical Engineering in Japan, Vol. 139, No. 2, pp. 23--35, April 2002 .
  685. R.H.C. Takahashi, R.M. Palhares, D.A. Dutra and L.P.S. Goncalves. Estimation of Pareto sets in the mixed H-2/H-infinity control problem, International Journal of Systems Science, pp. 55--67, Vol. 35, No. 1, January 2004 .
  686. E.G. Talbi and H. Meunier. Hierarchical parallel approach for GSM mobile network design, Journal of Parallel and Distributed Computing, Vol. 66, No. 2, pp. 274--290, February 2006 .
  687. E.-G. Talbi, S. Cahon and N. Melab. Designing cellular networks using a parallel hybrid metaheuristic on the computational grid, Computer Communications, Vol. 30, No. 4, pp. 698--713, February 26, 2007 .
  688. Hisashi Tamaki, M. Mori, and M. Araki. Generation of a Set of Pareto-Optimal Solutions by Genetic Algorithms. Transactions of the Society of Instrument and Control Engineers, 31(8):1185-1192, 1995.
  689. K.C. Tan, T.H. Lee, and E.F. Khor, Evolutionary Algorithms with Dynamic Population Size and Local Exploration for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 5, No. 6, pp. 565--588, December 2001 .
  690. K.C. Tan, Tong H. Lee, D. Khoo, and E.F. Khor, A Multiobjective Evolutionary Algorithm Toolbox for Computer-Aided Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 31, No. 4, pp. 537--556, August 2001 .
  691. K.C. Tan, T.H. Lee and E.F. Khor. Automatic design of multi-variable quantitative feedback theory control systems via evolutionary computation,Proceedings of the Institution of Mechanical Engineers Part I---Journal of Systems and Control Engineering, Vol. 215, No. I3, pp. 245--259, 2001.
  692. K.C. Tan, T.H. Lee and E.F. Khor. Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons, Artificial Intelligence Review, Vol. 17, No. 4, pp. 253--290, June 2002.
  693. K.C. Tan, E.F. Khor, T.H. Lee and Y.J. Yang. A tabu-based exploratory evolutionary algorithm for multiobjective optimization, Artificial Intelligence Review, Vol. 19, No. 3, pp. 231--260, May 2003 .
  694. K.C. Tan, E.F. Khor, T.H. Lee and R. Sathikannan. An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization, Journal of Artificial Intelligence Research, Vol. 18, pp. 183--215, 2003 .
  695. K.C. Tan, Y.H. Chew and L.H. Lee. A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems, European Journal of Operational Research, Vol. 172, No. 3, pp. 855--885, August 1st, 2006 .
  696. K.C. Tan, C.K. Goh, Y.J. Yang and T.H. Lee. Evolving better population distribution and exploration in evolutionary multi-objective optimization, European Journal of Operational Research, Vol. 171, No. 2, pp. 463--495, June 1, 2006 .
  697. K.C. Tan, Y.H. Chew and L.H. Lee. A hybrid multiobjective evolutionary algorithm for solving vehicle routing problem with time windows, Computational Optimization and Applications, Vol. 34, No. 1, pp. 115--151, May 2006 .
  698. K.C. Tan, Y.J. Yang and C.K. Goh. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 5, pp. 527--549, October 2006 .
  699. K.C. Tan, R. Sathikannan, W.W. Tan and A.P. Lo. Evolutionary design and implementation of a hard disk drive servo control system, Soft Computing, Vol. 11, No. 2, pp. 131--139, January 2007 .
  700. K. S. Tang, K. F. Man, and D. W. Gu. Structured Genetic Algorithm for Robust $h^infty$ Control Systems Design. IEEE Transactions on Industrial Electronics, 43(5):575-582, October 1996.
  701. Kit-Sang Tang, Kim-Fung Man and S. Kwong. Wireless Communication Network Design in IC Factory, IEEE Transactions on Industrial Electronics, Vol. 48, No. 2, pp. 452--459, April 2001.
  702. K.S. Tang, Kim-Fung Man, Guanrong Chen, and Sam Kwong. An Optimal Fuzzy PID Controller, IEEE Transactions on Industrial Electronics, Vol. 48, No. 4, pp. 757--765, August 2001.
  703. Kit-Sang Tang, King-Tim Ko and Erick W.M. Wong. Optimal File Placement in VOD System Using Genetic Algorithm, IEEE Transactions on Industrial Electronics, Vol. 48, No. 5, pp. 891--897, October 2001.
  704. Y. Tang, P. Reed and T. Wagener. How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?, Hydrology and Earth System Sciences, Vol. 10, No. 2, pp. 289--307, 2006 .
  705. Y. Tang, P.M. Reed and J.B. Kollat. Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications, Advances in Water Resources, Vol. 30, No. 3, pp. 335--353, March 2007 .
  706. A. Tarafder, B.C.S. Lee, Ajay K. Ray and G.P. Rangaiah. Multi-objective optimization of an Industrial Ethylene Reactor using a Non-dominated Sorting Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 44, pp. 124--141, 2005.
  707. Jason Teo and Hussein A. Abbass. Automatic Generation of Controllers for Embodied Legged Organisms: A Pareto Evolutionary Multi-Objective Approach, Evolutionary Computation, Vol. 12, No. 3, pp. 355--394, Fall 2004 .
  708. Jason Teo and Hussein A. Abbass. Multiobjectivity and Complexity in Embodied Cognition, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 4, pp. 337--360, August 2005 .
  709. Mark W. Thomas. Multi-Species Pareto Frontiers in Preliminary Submarine Design, Foundations of Computing and Decision Sciences, Vol. 25, No. 4, pp. 273--289, 2000.
  710. H.A. Thompson, A.J. Chipperfield, P.J. Fleming and C. Legge. Distributed aero-engine control systems architecture selection using multi-objective optimisation, Control Engineering Practice, Vol. 7, No. 5, pp. 655--664, 1999.
  711. S. Tiwari and N. Chakraborti. Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms, Journal of Materials Processing Technology, Vol. 173, pp. 384--393, 2006 .
  712. Vincent T'kindt, Nicolas Monmarché, Fabrice Tercinet and Daniel Laügt. An Ant Colony Optimization algorithm to solve a 2-machine bicriteria flowshop scheduling problem, European Journal of Operational Research, Vol. 142, No. 2, pp. 250--257, October 2002.
  713. A. Toffolo and A. Lazzaretto. Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design, Energy, Vol. 27, No. 6, pp. 549--567, June 2002.
  714. Andrea Toffolo and Ernesto Benini. Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms, Evolutionary Computation, Vol. 11, No. 2, pp. 151--167, Summer 2003 .
  715. Jari Toivanen, Jari P. Hämäläinen, Kaisa Miettinen and Pasi Tarvainen. Designing Paper Machine Headbox using GA, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 533--541, 2003.
  716. X.Y. Tong, G.B. Cai, Y.T. Zheng and J. Fang. Optimization of system parameters for gas-generator engines, Acta Astronautica, Vol. 59, Nos. 1--5, pp. 246--252, July-September 2006 .
  717. F. de Toro, E. Ros, S. Mota and J. Ortega. Evolutionary algorithms for multiobjective and multimodal optimization of diagnostic schemes, IEEE Transactions on Biomedical Engineering, Vol. 53, No. 2, pp. 178--189, February 2006 .
  718. Ismail H. Toroslu and Yilmaz Arslanoglu. Genetic algorithm for the personnel assignment problem with multiple objectives, Information Sciences: an International Journal, Vol. 177, No. 3, pp. 787--803, February 2007 .
  719. V. G. Toshinsky, H. Sekimoto, and G. I. Toshinsky. A method to improve multiobjective genetic algorithm optimization of a self-fuel-providing LMFBR by niche induction among nondominated solutions. Annals of Nuclear Energy, 27(5):397-410, March 2000 .
  720. A. Trebi-Ollennu and B. A. White. Multiobjective Fuzzy Genetic Algorithm Optimization Approach to Nonlinear Control System Design, IEE Proceedings on Control Theory and Applications, 144(2):137-142, March 1997.
  721. D. Tuyttens, J. Teghem, Ph. Fortemps, and K. Van Nieuwenhuyze. Performance of the MOSA Method for the Bicriteria Assignment Problem. Journal of Heuristics, 6(3):295-310, August 2000.
  722. Tapio Tyni and Jari Ylinen. Evolutionary bi-objective optimisation in the elevator car routing problem, European Journal of Operational Research, Vol. 169, No. 3, pp. 960--977, March 16, 2006 .
  723. U

  724. Steve Uhlig and Olivier Bonaventure. Designing BGP-based outbound traffic engineering techniques for stub ASes, Computer Communications Review, Vol. 34, No. 5, pp. 89--106, October 2004.
  725. Steve Uhlig. A Multiple-Objectives Evolutionary Perspective to Interdomain Traffic Engineering, International Journal of Computational Intelligence and Applications, Vol. 5, No. 2, pp. 215--230, 2005.
  726. E.L. Ulungu, J. Teghem, and Ch. Ost. Efficiency of interactive multi-objective simulated annealing through a case study. Journal of the Operational Research Society, 49:1044-1050, 1998.
  727. E.L. Ulungu, J. Teghem, Ph. Fortemps, and D. Tuyttens. MOSA Method: A Tool for Solving Multiobjective Combinatorial Optimization Problems. Journal of Multi-Criteria Decision Analysis, 8(4):221-236, 1999.
  728. V

  729. J.A. Vasconcelos, R.L.S. Adriano, D.A.G. Vieira, G.F.D. Souza and H.S. Azevedo. NSGA with Elitism Applied to Solve Multiobjective Optimization Problems, Journal of Microwaves and Optoelectronics, Vol. 2, No. 6, pp. 59--69, December 2002.
  730. Joao A. Vasconcelos, Joao H.R.D. Maciel and Roberta O. Parreiras. Scatter Search Techniques Applied to Electromagnetic Problems, IEEE Transactions on Magnetics, Vol. 41, No. 5, pp. 1804--1807, May 2005.
  731. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art, Evolutionary Computation, 8(2):125-147, 2000.
  732. David A. Van Veldhuizen, Jesse B. Zydallis and Gary B. Lamont. Considerations in Engineering Parallel Multiobjective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 144--173, April 2003 .
  733. V. Venugopal and T. T. Narendran. A Genetic Algorithm Approach to the Machine-Component Grouping Problem with Multiple Objectives. Computers and Industrial Engineering, 22(4):469-480, 1992.
  734. Alessandro Vicini and Domenico Quagliarella. Inverse and Direct Airfoil Design Using a Multiobjective Genetic Algorithm. AIAA Journal, 35(9):1499-1505, September 1997.
  735. Y. Vidyakiran, B. Mahanty and N. Chakraborti. A genetic-algorithms-based multiobjective approach for a three-dimensional guillotine cutting problem, Materials and Manufacturing Processes, Vol. 20, No. 4, pp. 697--715, 2005 .
  736. Douglas A.G. Vieira, Ricardo L.S. Adriano, Laurent Krähenbül and João A. Vasconcelos. Handling Constraints as Objectives in a Multiobjective Genetic Based Algorithm, Journal of Microwaves and Optoelectronics, Vol. 2, No. 6, pp. 50--58, December 2002.
  737. Douglas A. G. Vieira, Ricardo L. S. Adriano, João A. Vasconcelos and Laurent Krähenbühl. Treating Constraints as Objectives in Multiobjective Optimization Problems Using Niched Pareto Genetic Algorithm, IEEE Transactions on Magnetics, Vol. 40, No. 2, pp. 1188--1191, March 2004.
  738. Rémy Viennet, Christian Fontiex, and Ivan Marc. Multicriteria Optimization Using a Genetic Algorithm for Determining a Pareto Set. International Journal of Systems Science, 27(2):255-260, 1996.
  739. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Asymptotic Convergence of Metaheuristics for Multiobjective Optimization Problems, Soft Computing, Vol. 10, No. 11, pp. 1001--1005, September 2006 .
  740. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Asymptotic Convergence of a Simulated Annealing Algorithm for Multiobjective Optimization Problems, Mathematical Methods of Operations Research, Vol. 64, No. 2, pp. 353--362, October 2006 .
  741. J.G. Villegas, F. Palacios and A.L. Medaglia. Solution methods for the bi-objective (cost-coverage) unconstrained facility location problem with an illustrative example, Annals of Operations Research, Vol. 147, No. 1, pp. 109--141, October 2006 .
  742. B. Virginas, C. Voudouris, G. Owusu and G. Anim-Ansah. ARMS Collaborator - intelligent agents using markets to organise resourcing in modern enterprises, BT Technology Journal, Vol. 21, No. 4, pp. 59--64, October 2003 .
  743. Stefan Voget and Michael Kolonko. Multidimensional Optimization with a Fuzzy Genetic Algorithm. Journal of Heuristics, 4(3):221-244, September 1998.
  744. W

  745. Benjamin W. Wah, Arthur Ieumwananonthachai, Lon-Chan Chu and Akiko N. Aizawa. Genetics-Based Learning of New Heuristics: Rational Scheduling of Experiments and Generalization, IEEE Transactions on Knowledge and Data Engineering, Vol. 7, No. 5, pp. 763--785, October 1995.
  746. M. Walker and R.E. Smith, A technique for the multiobjective optimisation of laminated composite structures using genetic algorithms and finite element analysis, Composite Structures, Vol. 62, No. 1, pp. 123--128, October 2003 .
  747. David R. Wallace, Mark J. Jakiela, and W.C. Flowers. Design Search Under Probabilistic Specifications Using Genetic Algorithms. Computer-Aided Design, 28(5):405-421, 1996.
  748. Y.H. Wang, S.Y. Yang, G.Z. Ni, P.H. Ni and S.L. Ho. An emigration genetic algorithm for vector optimizations of electromagnetic devices, International Journal of Applied Electromagnetics and Mechanics, Vol. 19, Nos. 1--4, pp. 103--109, 2004 .
  749. Yuhuai Wang, Shiyou Yang, Guangzheng Ni, S.L. Ho and Z.J. Liu. An Emigration Genetic Algorithm and Its application to Multiobjective Optimal Designs of Electromagnetic Devices, IEEE Transactions on Magnetics, Vol. 40, No. 2, pp. 1240--1243, March 2004 .
  750. H.L. Wang, S. Kwong, Y.C. Jin, W. Wei and K.F. Man. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction, Fuzzy Sets and Systems, Vol. 149, No. 1, pp. 149--186, January 1, 2005 .
  751. W.M. Wang, H. Rivard and R. Zmeureanu. An object-oriented framework for simulation-based green building design optimization with genetic algorithms, Advanced Engineering Informatics, Vol. 19, No. 1, pp. 5--23, January 2005 .
  752. Yao Wang and Mark Wineberg. Estimation of evolvability genetic algorithm and dynamic environments, Genetic Programming and Evolvable Machines, Vol. 7, No. 4, pp. 355--382, December 2006 .
  753. Yong Wang, Zixing Cai, Guanqi Guo and Yuren Zhou. Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization problems, IEEE Transactions on Systems, Man and Cybernetics Part B--Cybernetics, Vol. 37, No. 3, pp. 560--575, June 2007 .
  754. Nicole Weicker, Gabor Szabo, Karsten Weicker and Peter Widmayer. Evolutionary Multiobjective Optimization for Base Station Transmitter Placement with Frequency Assignment, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 189--203, April 2003 .
  755. D. S. Weile and E. Michielssen. Integer coded Pareto genetic algorithm design of constrained antenna arrays, Electronics Letters, 32(19):1744-1745, September 1996.
  756. D. S. Weile, E. Michielssen, and D. E. Goldberg. Genetic algorithm design of Pareto optimal broadband microwave absorbers, IEEE Transactions on Electromagnetic Compatibility, 38(3):518-525, August 1996.
  757. L.A. Welser, R.C. Mancini, J.A. Koch, N. Izumi, H. Dalhed, H. Scott, T.W. Barbee, R.W. Lee, I.E. Golovkin, F. Marshall, J. Delettrez and L. Klein,Analysis of the spatial structure of inertial confinement fusion implosion cores at OMEGA,Journal of Quantitative Spectroscopy & Radiative Transfer, Vol. 81, Nos. 1--4, pp. 487--497, September-November 2003.
  758. L.A. Welser, R.C. Mancini, J.A. Koch, N. Izumi, S.J. Louis, I.E. Golovkin, T.W. Barbee, S.W. Haan, J.A. Delettrez, F.J. Marshall, R.P. Regan, V.A. Smalyuk, D.A. Haynes and R.W. Lee. Multi-objective spectroscopic analysis of core gradients: Extension from two to three objectives, Journal of Quantitative Spectroscopy & Radiative Transfer, Vol. 99, Nos. 1--3, pp. 649--657, May-June 2006 .
  759. J.F. Whidborne and R.S.H. Istepanian. Genetic algorithm approach to designing finite-precision controller structures, IEE Proceedings on Control Theory and Applications, Vol. 148, No. 5, pp. 377--382, September 2001.
  760. Lyndon While, Phil Hingston, Luigi Barone and Simon Huband. A Faster Algorithm for Calculating Hypervolume, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 1, pp. 29--38, February 2006.
  761. P. B. Wienke, C. Lucasius, and G. Kateman. Multicriteria target optimization of analytical procedures using a genetic algorithm. Analytica Chimica Acta, 265(2):211-225, 1992.
  762. L.A. Wilson and M.D. Moore. Cross-pollinating parallel genetic algorithms for multiobjective search and optimization, International Journal of Foundations of Computer Science, Vol. 16, No. 2, pp. 261--280, April 2005 .
  763. J. Wright, H.A. Loosemore and R. Farmani. Optimization of building thermal design and control by multi-criterion genetic algorithm, Energy and Buildings, Vol. 34, No. 9, pp. 959--972, October 2002 .
  764. Jin Wu and Shapour Azarm. Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set, Transactions of the ASME, Journal of Mechanical Design, Vol. 123, pp. 18--25, 2001 .
  765. X

  766. Ningchuan Xiao, David A. Bennet and Marc P. Armstrong. Using evolutionary algorithms to generate alternatives for multiobjective site-search problems, Environment and Planning A, Vol. 34, No. 4, pp. 639--656, April 2002.
  767. Ningchuan Xiao, David A. Bennett and Marc P. Armstrong. Interactive evolutionary approaches to multiobjective spatial decision making: A synthetic review, Computers Environment and Urban Systems, Vol. 31, No. 3, pp. 232--252, May 2007 .
  768. Jia Xiaoping, Zhang Tianzhu, Wang Fang and Han Fangyu. Multi-objective modeling and optimization for cleaner production processes, Journal of Cleaner Production, Vol. 14, No. 2, pp. 146--151, 2006 .
  769. J.X. Xu, C.S. Chang and X.W. Wang. Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 5, pp. 435--446, September 1996.
  770. Qinzhen Xu, Qiangfu Zhao, Wenjiang Pei, Luxi Yang and Zhenya He. Interpretable Neural Network Tree for Continuous-Feature Data Sets, Neural Information Processing, Vol. 3, No. 3, pp. 77--84, June 2004 .
  771. Jiefeng Xu, Milind Sohoni, Mike McCleery and T. Glenn Bailey. A dynamic neighborhood based tabu search algorithm for real-world flight instructor scheduling problems, European Journal of Operational Research, Vol. 169, pp. 978--993, 2006 .
  772. Y

  773. H. Yamachi, Y. Tsujimura, Y. Kambayashi and H. Yamamoto. Multi-objective genetic algorithm for solving N-version program design problem, Reliability Engineering & System Safety, Vol. 91, No. 9, pp. 1083--1094, September 2006 .
  774. Yingxu Yang and S.A. Billings. Extracting Boolean Rules from CA Patterns, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 30, No. 4, pp. 573--580, August 2000.
  775. S.Y. Yang, J.R. Cardoso, S.L. Ho, P.H. Ni, J.M. Machado and E.W.C. Lo. An improved tabu-based vector optimal algorithm for design optimizations of electromagnetic devices, IEEE Transactions on Magnetics, Vol. 40, No. 2, pp. 1140--1143, Part 2, March 2004 .
  776. Leehter Yao, William A. Sethares, and Daniel C. Kammer. Sensor Placement for On-Orbit Modal Identification via a Genetic Algorithm. AIAA Journal, 31(10):1922-1928, October 1993.
  777. Haluk Yapicioglu, Alice E. Smith and Gerry Dozier. Solving the semi-desirable facility location problem using bi-objective particle swarm, European Journal of Operational Research, Vol. 177, No. 2, pp. 733--749, March 1, 2007 .
  778. P. O. Yapo, H. V. Gupta, and S. Sorooshian. Multi-Objective Global Optimization for Hydrologic Models. Journal of Hydrology, 204:83-97, 1998.
  779. Keiichiro Yasuda, Osamu Yamazaki and Takao Watanabe. Proposal of a cannibalism bug-based search strategy using genetic algorithms (C-BUGS) and its application to multiobjective optimization problems, Electrical Engineering in Japan, Vol. 139, No. 1, pp. 51--64, April 2002 .
  780. Chao-Hsien Yeh and John W. Labadie. Multiobjective Watershed-Level Planning of Storm-Water Detention Systems. Journal of Water Resources Planning and Management, 123(6):336-343, November/December 1997.
  781. Gary G. Yen and Haiming Lu. Dynamic Multiobjective Evolutionary Algorithm: Adaptive Cell-Based Rank and Density Estimation, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 3, pp. 253--274, June 2003 .
  782. A.R. Yildiz and F. Ozturk. Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation, Proceedings of the Institution of Mechanical Engineers Part B--Journal of Engineering Manufacture, Vol. 220, No. 12, pp. 2041--2053, December 2006.
  783. L. Yinzhen, K. Ida, and M. Gen. Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers. Computers and Industrial Engineering, 33(3):589-592, December 1997.
  784. J. Yoo and P. Hajela. Immune network simulations in multicriterion design. Structural Optimization, Vol. 18, pp. 85--94, 1999
  785. J. Yoo and P. Hajela. Fuzzy Multicriterion Design Using Immune Network Simulation, Structural and Multidisciplinary Optimization, Vol. 22, No. 3, pp. 188--197, 2001.
  786. Yan Yu. Multi-objective decision theory for computational optimization in radiation therapy. Medical Physics, 24:1445-1454, 1997.
  787. W.F. Yu, K. Hidajat and A.K. Ray, Application of multiobjective optimization in the design and operation of reactive SMB and its experimental verification, Industrial & Engineering Chemistry Research, Vol. 42, No. 26, pp. 6823--6831, December 24, 2003.
  788. Chan Ching Yuen, Aatmeeyata, Santosh K. Gupta and Ajay K. Ray. Multi-objective optimization of membrane separation modules using genetic algorithm Journal of Membrane Science, Vol. 176, No. 2, pp. 177--196, August 2000.
  789. Y.B. Yun, H. Nakayama and M. Arakawa. Multiple criteria decision making with generalized DEA and an aspiration level method, European Journal of Operational Research, Vol. 158, No. 3, pp. 697--706, November 1, 2004 .
  790. Z

  791. Sanyou Y. Zeng, Lishan S. Kang and Lixin X. Ding. An Orthogonal Multi-objective Evolutionary Algorithm for Multi-objective Optimization Problems with Constraints, Evolutionary Computation, Vol. 12, No. 1, pp. 77--98, Spring 2004.
  792. P. Zhang and A.H. Coonick. Coordinated Synthesis of PSS Parameters in Multi-Machine Power Systems Using the Method of Inequalities Applied to Genetic Algorithms, IEEE Transactions on Power Systems, Vol. 15, No. 2, pp. 811--816, May 2000.
  793. Ziyang Zhang, Ajay K. Ray and K. Hidajat. Multiobjective optimization of simulated countercurrent moving bed chromatographic reactor (SCMCR) for MTBE synthesis, Industrial and Engineering Chemistry Research, Vol. 41, No. 13, pp. 3213--3232, June 2002.
  794. Ziyang Zhang, K. Hidajat, Ajay K. Ray and M. Morbidelli. Multiobjective Optimization of SMB and Varicol Process for Chiral Separation, AIChE Journal, Vol. 48, No. 12, pp. 2800--2816, December 2002.
  795. Z. Zhang, M. Mazzotti and M. Morbidelli. Multiobjective optimization of simulated moving bed and Varicol processes using genetic algorithm, Journal of Chromatography A, Vol. 989, No. 1, pp. 95--108, March 7, 2003 .
  796. Yan Zhang, Kus Hidajat and Ajay K. Ray. Optimal design and operation of SMB bioreactor: production of high fructose syrup by isomerization of glucose, Biochemical Engineering Journal, Vol. 21, No. 2, pp. 111--121, October 2004.
  797. Zhuhong Zhang. Immune optimization algorithm for constrained nonlinear multiobjective optimization problems, Applied Soft Computing, Vol. 7, No. 3, pp. 840--857, June 2007 .
  798. Bo Zhao and Yi-jia Cao. Multiple objective particle swarm optimization technique for economic load dispatch, Journal of Zhejiang University SCIENCE, Vol. 6A, No. 5, pp. 420--427, 2005 .
  799. Shuguang Zhao and Licheng Jiao. Multi-objective evolutionary design and knowledge discovery of logic circuits on an adaptive genetic algorithm, Genetic Programming and Evolvable Machines, Vol. 7, No. 3, pp. 195--210, October 2006 .
  800. D.X.M. Zheng, S.T. Ng and M.M. Kumaraswamy. Applying a genetic algorithm-based multiobjective approach for time-cost optimization, Journal of Construction Engineering and Management--ASCE, Vol. 130, No. 2, pp. 168--176, March-April 2004 .
  801. Gengui Zhou and Mitsuo Gen. Genetic Algorithm Approach on Multi-Criteria Minimum Spanning Tree Problem, European Journal of Operational Research, 114(1), April 1999.
  802. Fangbin Zhou, Santosh K. Gupta and Ajay K. Ray. Multiobjective Optimization of the Continouos Casting Process for Poly (methyl methacrylate) Using Adapted Genetic Algorith, Journal of Applied Polymer Science, Vol. 78, No. 7, pp. 1439--1458, November 2000.
  803. Eckart Zitzler and Lothar Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach, IEEE Transactions on Evolutionary Computation, 3(4):257-271, November 1999.
  804. Eckart Zitzler, Jürgen Teich, and Shuvra S. Bhattacharyya. Multidimensional Exploration of Software Implementations for DSP Algorithms Journal of VLSI Signal Processing, Vol. 24, No. 1, pp. 83--98, February 1999.
  805. Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation, 8(2):173-195, Summer 2000.
  806. Eckart Zitzler, Lothar Thiele, Marco Laumanns, Carlos M. Fonseca and Viviane Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 117--132, April 2003 .
  807. N. Zong and X. Hong. Nonlinear channel equalizer design using directional evolutionary multi-objective optimization, International Journal of Systems Science, Vol. 36, No. 12, pp. 737--755, October 10, 2005 .
  808. X.F. Zou and L.S. Kang. Fast annealing genetic algorithm for multi-objective optimization problems, International Journal of Computer Mathematics, Vol. 82, No. 8, pp. 931--940, August 2005 .
  809. I. Zwir, R. Romero Zaliz and E.H. Ruspini. Automated Biological Sequence Description by Genetic Multiobjective Generalized Clustering, Annals of the New York Academy of Sciences, Vol. 980, pp. 65--82, 2002.