JOS-MrAHA: an effective artificial hummingbird algorithm for rolling element bearing problems

Jingyu Zhong; Congyao Zhao; Xinguang Yuan; Bo Du; Gang Hu

doi:10.1117/12.2645651

30 August 2022 JOS-MrAHA: an effective artificial hummingbird algorithm for rolling element bearing problems

Jingyu Zhong, Congyao Zhao, Xinguang Yuan, Bo Du, Gang Hu

Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 123090C (2022) https://doi.org/10.1117/12.2645651
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China

Abstract

Artificial hummingbird algorithm is a new MH algorithm with a simple mechanism and is easy to implement. It shows a strong competitive edge. However, when solving complex multimodal and engineering design problems, the AHA has disadvantages such as being easy to fall into local optimum and slow convergence speed. Therefore, an effective AHA (JOS-MrAHA) based on mirror reflection learning and joint opposite strategy is proposed in this paper. First, a mirror reflection learning based on the reflection principle is introduced to expand the search area and enhance the search capability. In addition, by adding the joint opposite strategy, the ability of JOS-MrAHA to jump out of the locally optimal solution is enhanced, and the convergence speed is accelerated. In addition, JOS-MrAHA and three latest MH algorithms are used to solve the CEC2019 test suit. The evaluation metrics obtained by JOS-MrAHA are generally better than the other three MH algorithms. Finally, JOS-MrAHA is applied to the rolling element bearing problem, and the numerical results verify the applicability and high efficiency of JOS-MrAHA in solving rolling element bearing mechanical problems.

Citation Download Citation

Jingyu Zhong, Congyao Zhao, Xinguang Yuan, Bo Du, and Gang Hu "JOS-MrAHA: an effective artificial hummingbird algorithm for rolling element bearing problems", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 123090C (30 August 2022); https://doi.org/10.1117/12.2645651

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