The automatic design of parameter adaptation techniques for differential evolution with genetic programming

This study proposes a technique aimed at the automatic search for parameter adaptation strategies in a differential evolution algorithm with genetic programming symbolic regression. Genetic programming is applied to find the symbolic expression for scaling factor control during the optimization proc...

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Vydané v:	Knowledge-based systems Ročník 239; s. 108070
Hlavní autori:	Stanovov, Vladimir, Akhmedova, Shakhnaz, Semenkin, Eugene
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 05.03.2022 Elsevier Science Ltd
Predmet:	Adaptation Algorithms Automatic Design factors Design parameters Differential evolution Evolution Evolutionary algorithms Evolutionary computation Extraction Genetic algorithms Genetic programming Genetics Information sources Optimization Parameter adaptation Programming Property Scaling factors Symbolism Symbols Differential evolution Parameter adaptation Genetic programming
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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