Research on the improved bat algorithms

Yantao Tao; Zhengming Gao

doi:10.1117/12.2689366

10 August 2023 Research on the improved bat algorithms

Yantao Tao, Zhengming Gao

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274815 (2023) https://doi.org/10.1117/12.2689366
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

The bat algorithm (BA) was a kind of meta-heuristic algorithm that was simple and efficient in optimization, it had been widely applied in various fields. To improve the capability of the original BA, two methods used frequently in improvements were proposed in this paper: the gradient and sub-gradient methods, together with the Levy flights. Simulation experiments were carried out on the representatives of unimodal and multimodal benchmark functions. Results confirmed that not all traditional improvements were effective, some of the improved BA even work worse than the original one. However, the Levy flights could be considered a better replacement of randomness in applications.

Citation Download Citation

Yantao Tao and Zhengming Gao "Research on the improved bat algorithms", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274815 (10 August 2023); https://doi.org/10.1117/12.2689366

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