Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations

Differential evolution (DE) algorithm has been shown to be a very effective and efficient approach for solving global numerical optimization problems, which attracts a great attention of scientific researchers. Generally, most of DE algorithms only evolve one population by using certain kind of DE o...

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Veröffentlicht in:	Computers & operations research Jg. 67; S. 155 - 173
Hauptverfasser:	Cui, Laizhong, Li, Genghui, Lin, Qiuzhen, Chen, Jianyong, Lu, Nan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.03.2016 Pergamon Press Inc
Schlagworte:	Adaptive algorithms Adaptive parameter control Algorithms Benchmarks Differential evolution Evolutionary algorithms Genetic algorithms Global optimization Mathematical analysis Mathematical models Mathematical problems Multiple sub-populations Optimization Optimization techniques Replacement strategy Strategy Studies Vector space Vectors (mathematics) Differential evolution Multiple sub-populations Global optimization Adaptive parameter control Replacement strategy
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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