Organized by

Helio J.C. Barbosa
National Laboratory for Scientific Computation (LNCC), BRAZIL. 
Universidade Federal de Juiz de Fora, BRAZIL. 

hcbm@lncc.br

Yong Wang
School of Information Science and Engineering, Central South University, CHINA. 

ywang@csu.edu.cn

AND

Efrén Mezura-Montes
University of Veracruz, MEXICO.
emezura@uv.mx 

 

Important dates

Please check the WCCI 2016 web site http://www.wcci2016.org

Motivation

In their original versions, nature-inspired algorithms for optimization such as evolutionary algorithms (EAs) and swarm intelligence algorithms (SIAs) 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 for single-, multi-, and many-objective optimization, using different nature-inspired techniques.
Scope

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 for single-, multi-, and many-objective optimization.
• Novel constraint-handling techniques for constrained dynamic optimization.
• Novel/adapted search algorithms for constrained optimization.
• Memetic algorithms in constrained search spaces.
• Parameter setting (tuning and control) in constrained optimization.
• Mixed (discrete-continuous) constrained optimization.
• Theoretical analysis and complexity of algorithms in constrained optimization.
• Performance evaluation of algorithms in constrained optimization.
• Expensive Constrained Optimization.
• Design of difficult and scalable test functions.
• Applications.

Program Committee

To be announced.

Submission

Please follow the WCCI 2016 instructions for authors.

Copyright 2015 Mauricio Damián Araoz. All rights reserved.