Tuesday, 19 December 2017

CFP: WCCI Special Session on Nature-Inspired Constrained Optimization


2018 IEEE World Congress on Computational Intelligence
8-13 July 2018

Aim and scope:

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

•       Novel constraint-handling techniques for EAs and SIAs
•       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
•       Convergence analysis in constrained optimization
•       Performance evaluation of algorithms in constrained optimization
•       Expensive Constrained Optimization
•       Design of difficult and scalable test functions
•       Applications

Important Dates:

•       15th January 2018 – Paper Submission 
•       15th March 2018 – Paper Acceptance
•       1st May 2018 – Final Paper Submission

Updates at: http://www.ecomp.poli.br/~wcci2018/submissions/#Importantdate 

Paper submission:

Submission website: http://ieee-cis.org/conferences/cec2018/upload.php 
Please choose as Main Research topic: "SS15. Nature-Inspired Constrained Optimization"

Efrén Mezura-Montes
Artificial Intelligence Research Center, University of Veracruz, MEXICO

Helio J.C. Barbosa
Laboratório Nacional de Computação Científica (LNCC), BRAZIL Universidade Federal de Juiz de Fora,  BRAZIL

Rituparna Datta
Graduate School of Knowledge Service Engineering, Department of Industrial & Systems Engineering at Korea Advanced Institute of Science and Technology (KAIST). 

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