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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Bibliographic Details
Published in:	Knowledge-based systems Vol. 239; p. 108070
Main Authors:	Stanovov, Vladimir, Akhmedova, Shakhnaz, Semenkin, Eugene
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 05.03.2022 Elsevier Science Ltd
Subjects:	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
Online Access:	Get full text
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