2019 IEEE Congress on Evolutionary Computation (CEC 2019), June 10-13, 2019, Wellington, New Zealand
Special Session on: “Differential Evolution: Past, Present and Future”
Aim and Scope
Differential evolution (DE) emerged as a simple and powerful population-based stochastic 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 successes of DE have been ubiquitously evidenced in a variety of problem domains. Furthermore, the remarkable efficacy of DE in real-world applications has significantly boosted 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, and 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 CEC. 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 research area. Authors are invited to submit their original and unpublished work in the areas including but not limited to:
· New DE variants for continuous, discrete, mixed-variable, single-objective, multi-objective, many-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
· DE for deep learning
· Application of DE to real-world problems
· Paper submission deadline:
January 7, 2019
· Paper acceptance notification date: March 7, 2019
· Final paper submission deadline: March 31, 2019
Please refer to for the latest information.
All papers should be submitted electronically through: http://cec2019.org/papers.
When you submit your papers to our special session, please select "56" as the Main Research Topic*.
Special Session Co-Chairs
Swinburne University of Technology, Australia
Electronics and Communication Sciences Unit, Indian Statistical Institute, India
School of Electronics Engineering, Kyungpook National University, Daegu, South Korea