2018 IEEE World Congress on Computational Intelligence (WCCI 2018)
July 8-13, 2018, Rio de Janeiro, Brazil
Aim and Scope
Differential evolution (DE) emerged as a simple and powerful stochastic real-parameter optimizer more than two decades ago and has now developed into one of the most promising research areas in the field of evolutionary computation. The success of DE has been ubiquitously evidenced in various problem domains, e. g., continuous, combinatorial, mixed continuous-discrete, single-objective, multi-objective, constrained, large-scale, multimodal, dynamic and uncertain optimization problems. Furthermore, the remarkable efficacy of DE in real-world applications significantly boosts its popularity.
Over the past decades, numerous studies on DE have been carried out to improve the performance of DE, to give a theoretical explanation of the behavior of DE, to apply DE and its derivatives to solve various scientific and engineering problems, as demonstrated by a huge number of research publications on DE in the forms of monographs, edited volumes and archival articles. Consequently, DE related algorithms have frequently demonstrated superior performance in challenging tasks. It is worth noting that DE has always been one of the top performers in previous competitions held at the IEEE Congress on Evolutionary Computation. Nonetheless, the lack of systematic benchmarking of the DE related algorithms in different problem domains, the existence of many open problems in DE, and the emergence of new application areas call for an in-depth investigation of DE.
This special session aims at bringing together researchers and practitioners to review and re-analyze past achievements, to report and discuss latest advances, and to explore and propose future directions in this rapidly emerging research area. Authors are invited to submit their original and unpublished work in the areas including, but not limited to:
· DE for continuous, discrete, mixed, single-objective, multi-objective, constrained, large-scale, multiple optima seeking (niching), dynamic and uncertain optimization
· Review, comparison and analysis of DE in different problem domains
· Experimental design and empirical analysis of DE
· DE-variants for handling mixed-integer, discrete, and binary optimization problems
· Study on initialization, reproduction and selection strategies in DE
· Study on control parameters (e.g., scale factor, crossover rate, and population size) in DE
· Self-adaptive and tuning-free DE
· Parallel and distributed DE
· Theoretical analysis and understanding of DE
· Synergy of DE with neuro-fuzzy and machine learning techniques
· DE for expensive optimization problems
· Hybridization of DE with other optimization techniques
· Interactive DE
· Application of DE to real-world problems
Important Dates
· Paper submission deadline: Janurary 15, 2018
· Paper acceptance notification date: March 15, 2018
· Final paper submission deadline: May 1, 2018
Please refer to http://www.ecomp.poli.br/~wcci2018/submissions/#Importantdate for the latest information.
Paper Submission
All papers should be submitted electronically through: http://ieee-cis.org/conferences/cec2018/upload.php
When you submit your papers to our special session, please select "SS28: Differential Evolution: Past, Present and Future" as the Main Research Topic*.
Special Session Co-Chairs
Kai Qin
Swinburne University of Technology, Australia
Swagatam Das
Electronics and Communication Sciences Unit, Indian Statistical Institute, India
Rammohan Mallipeddi
School of Electronics Engineering, Kyungpook National University, Daegu, South Korea
Efrén Mezura Montes
Artificial Intelligence Research Center, University of Veracruz, MEXICO
Email: emezura@uv.mx
No comments:
Post a Comment
Note: only a member of this blog may post a comment.