2013 IEEE Congress on Evolutionary Computation (CEC 2013)
Special Session on Nature Inspired
Constrained Optimization

In
their original versions, nature-inspired algorithms for optimization
such as evolutionary algorithms (EAs) and swarm intelligence (SI) are
designed to sample unconstrained search spaces. Therefore, a
considerable amount of research has been dedicated to adapt them to
deal with constrained search spaces. The objective of the session is to
present the most recent advances in constrained optimization using
different nature-inspired techniques.
The session seeks to promote the
discussion and presentation of novel works related with the following
(but not limited to) issues:
- Novel constraint-handling techniques
- Novel/adapted search-engines for constrained optimization
- Memetic algorithms in constrained search spaces.
- Parameter adaptation in constrained optimization
- Mixed (discrete-continuous) constrained optimization.
- Theoretical analysis and complexity of algorithms in
constrained
- optimization.
- Performance evaluation of algorithms in constrained
optimization.
- Constraint-handling techniques in multi and many-objective
optimization
- Dynamic constraint-handling
- Design of difficult and scalable test functions
- Applications.
- Alfredo Arias-Montaño, ESIME-IPN, MEXICO
- Heder S. Bernardino, Laboratório Nacional de Computacáo Científica, BRAZIL
- Janez Brest, University of Maribor, SLOVENIA
- Eduardo G. Carrano, Centro Federal de Educacão Tecnológica
de Minas Gerais, BRAZIL
- Nareli Cruz-Cortés, CIC-IPN, MEXICO
- Ricardo Landa-Becerra, CINVESTAV-Tamaulipas, MEXICO
- Guillermo Leguizamón, Universidad Nacional de San Luis,
ARGENTINA
- Afonso C.C. Lemonge, Universidade Federal de Juiz de Fora, BRAZIL
- Ángel E. Muñoz-Zavala, Universidad Autónoma de
Aguascalientes, MEXICO.
- Tapabrata Ray, University of New South Wales at Australian
Defence Force Academy, AUSTRALIA
- Gregorio Toscano-Pulido, CINVESTAV-Tamaulipas, MEXICO
- Yong Wang, Central South University (CSU), CHINA
- Elizabeth F. Wanner, Centro Federal de Educacão Tecnológica
de Minas Gerais, BRAZIL
Please follow the CEC 2013 instructions
for authors.
Copyright 2012 Mauricio Damián
Araoz. All rights reserved.