A Grey wolf optimizer combined with Artificial fish swarm algorithm for engineering design problems

For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO). First, the search method of grey wolves is improved by combining the clustering behavior...

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Bibliografski detalji

Glavni autori:	Hongzhi Zhang, Yong Zhang, Yixing Niu, Kai He, Yukun Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-07-01
Serija:	Ain Shams Engineering Journal
Teme:	Grey wolf optimizer Artificial fish swarm algorithm Quadratic interpolation Elite reverse learning Engineering design problems
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2090447924001722
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