Helio J.C.
Barbosa
National Laboratory for Scientific Computation (LNCC), BRAZIL.
Universidade Federal de Juiz de Fora, BRAZIL.
Yong
Wang
School of Information Science and Engineering, Central South University, CHINA.
AND
Efrén Mezura-Montes
University of Veracruz, MEXICO.
emezura@uv.mx
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:
Program Committee
Please follow the WCCI 2016 instructions for authors.
Copyright 2015 Mauricio Damián Araoz. All rights reserved.