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

• Published in: Applied soft computing Vol. 123; p. 108947
• Main Authors: Yuan, Yongliang, Mu, Xiaokai, Shao, Xiangyu, Ren, Jianji, Zhao, Yong, Wang, Zhenxi
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2022
• Subjects: 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

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...