Implementation of an Enhanced Crayfish Optimization Algorithm

This paper presents an enhanced crayfish optimization algorithm (ECOA). The ECOA includes four improvement strategies. Firstly, the Halton sequence was used to improve the population initialization of the crayfish optimization algorithm. Furthermore, the quasi opposition-based learning strategy is i...

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Vydáno v:	Biomimetics (Basel, Switzerland) Ročník 9; číslo 6; s. 341
Hlavní autoři:	Zhang, Yi, Liu, Pengtao, Li, Yanhong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 04.06.2024 MDPI
Témata:	Accuracy Algorithms Competition crayfish optimization algorithm Design engineering Experiments fish device aggregation effect Food Foraging behavior Halton sequence Heat IEEE CEC2019 Linear programming Optimization algorithms Predation quasi opposition-based learning Temperature Halton sequence crayfish optimization algorithm IEEE CEC2019 fish device aggregation effect quasi opposition-based learning
ISSN:	2313-7673, 2313-7673
On-line přístup:	Získat plný text
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