Organized by

Efrén Mezura-Montes
Artificial Intelligence Research Center, University of Veracruz, MEXICO.
emezura@uv.mx 

 

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

hcbm@lncc.br

 

Rituparna Datta
Korea Advanced Institute of Science and Technology Daejeon, South Korea  

rituparndatta@gmail.com


Important dates Please check the CEC 2019 web site http://www.cec2019.org
Motivation

chart


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 using different nature-inspired algorithms.
Scope

The session seeks to promote the discussion and presentation of novel works related with (but not limited to) the following issues:


Program Committee

Submission

Please follow the CEC 2019 instructions for authors.

Copyright 2018 Mauricio Damián Araoz. All rights reserved.