Modified crayfish optimization algorithm for solving multiple engineering application problems

Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the crayfish search efficiency decreases in the later stage of the algorithm, and the algorithm is easy to fall into local optimum. To solve these problems, this paper proposes an modified crayfish optimization algorithm...

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Vydané v:	The Artificial intelligence review Ročník 57; číslo 5; s. 127
Hlavní autori:	Jia, Heming, Zhou, Xuelian, Zhang, Jinrui, Abualigah, Laith, Yildiz, Ali Riza, Hussien, Abdelazim G.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.05.2024 Springer Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Computer Science Constraints Engineering Experiments Feature selection Habits Hostility Learning Learning strategies Mathematical optimization Natural environment Optimization Optimization algorithms Performance enhancement Performance evaluation Renewal Water quality High dimensional feature selection Environmental updating mechanism Constrained engineering design problems Crayfish Optimization Algorithm Ghost opposition-based learning strategy Global optimization problem
ISSN:	1573-7462, 0269-2821, 1573-7462
On-line prístup:	Získať plný text
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