An improved differential evolution by hybridizing with estimation-of-distribution algorithm

To fully exploit the strong exploitation of differential evolution (DE) and the strong exploration of the estimation-of-distribution algorithm (EDA), an improved differential evolution by hybridizing the estimation-of-distribution algorithm named IDE-EDA is proposed in the study. Firstly, a novel co...

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Vydané v:	Information sciences Ročník 619; s. 439 - 456
Hlavní autori:	Li, Yintong, Han, Tong, Tang, Shangqin, Huang, Changqiang, Zhou, Huan, Wang, Yuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.01.2023
Predmet:	Artificial intelligence Differential evolution Estimation distribution algorithm Hybridization Differential evolution Estimation distribution algorithm Hybridization Artificial intelligence
ISSN:	0020-0255, 1872-6291
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