<scp>SCJADE</scp>: Yet Another State‐of‐the‐Art Differential Evolution Algorithm
Zhe Xu, Shangce Gao, Haichuan Yang, Zhenyu Lei
Abstract
Differential evolution algorithms have become one of the most competitive evolutionary algorithms, among which a chaotic differential evolution (CJADE) is a recently proposed state‐of‐the‐art variant. But CJADE still suffers from the premature convergence problem. This paper further improves CJADE by innovatively incorporating a success‐intensity‐based roulette wheel selection method into it. The resultant algorithm called SCJADE shows its superiority over its peer in terms of solution quality and convergence speed on IEEE CEC2017 optimization test suit. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Topics & Concepts
RouletteDifferential evolutionConvergence (economics)Fitness proportionate selectionAlgorithmComputer scienceState (computer science)Selection (genetic algorithm)Evolutionary algorithmChaoticDifferential (mechanical device)Mathematical optimizationMathematicsArtificial intelligenceEngineeringGenetic algorithmMachine learningFitness functionAerospace engineeringGeometryEconomic growthEconomicsMetaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization Algorithms