Self-adaptive differential evolution algorithm with discrete mutation control parameters

•In DMPSADE, control parameters and mutation strategies could be automatically adjusted.•We first proposed a new encoding for parameter control in DE algorithm.•Roulette wheel is used to implement the selection of mutation strategies. Generally, the optimization problem has different relationships (...

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Veröffentlicht in:	Expert systems with applications Jg. 42; H. 3; S. 1551 - 1572
Hauptverfasser:	Fan, Qinqin, Yan, Xuefeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 15.02.2015 Elsevier
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Balancing Computer science; control theory; systems Control parameter adaptation Control system synthesis Control theory. Systems Differential evolution algorithm Discrete mutation parameters Evolution Evolutionary computation Exact sciences and technology Expert systems Mutation strategy adaptation Mutations Nonlinearity Optimization Strategy Theoretical computing Mutation strategy adaptation Differential evolution algorithm Control parameter adaptation Discrete mutation parameters Evolutionary computation Capability index Statistical analysis Balancing Adaptive algorithm Evolutionary algorithm Adaptability Control program Control synthesis Differential evolution Mutation Mathematical programming
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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