DEPSO: hybrid particle swarm with differential evolution operator
作者： Wen-Jun Zhang , Xiao-Feng Xie
DOI: 10.1109/ICSMC.2003.1244483
关键词: Evolutionary computation 、 Differential evolution 、 Benchmark (computing) 、 Operator (computer programming) 、 Particle swarm optimization 、 Metaheuristic 、 Computer science 、 Multi-swarm optimization 、 Mathematical optimization
摘要: A hybrid particle swarm with differential evolution operator, termed DEPSO, which provide the bell-shaped mutations consensus on population diversity along evolution, while keeping self-organized dynamics, is proposed. Then it applied to a set of benchmark functions, and experimental results illustrate its efficiency.
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