Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer algorithm

Highly non-linear optimization problems are widely found in many real-world engineering applications. To tackle these problems, a novel assisted optimization strategy, named elite opposition-based learning and chaotic k-best gravitational search strategy (EOCS), is proposed for the grey wolf optimiz...

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Vydané v:	Applied soft computing Ročník 123; s. 108947
Hlavní autori:	Yuan, Yongliang, Mu, Xiaokai, Shao, Xiangyu, Ren, Jianji, Zhao, Yong, Wang, Zhenxi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2022
Predmet:	Chaotic k-best gravitational search Grey wolf optimizer algorithm Opposition-based learning Parameter identification Grey wolf optimizer algorithm Chaotic k-best gravitational search Parameter identification Opposition-based learning
ISSN:	1568-4946
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