A comparative analysis of the new nearest swarm intelligent optimization algorithm for solving numerical problems

Yuyuan Liu; Zhitao Chen; Xin Cheng; Cansu Jin; Jiahuan Yu; Hao Liu

doi:10.1117/12.3004092

11 October 2023 A comparative analysis of the new nearest swarm intelligent optimization algorithm for solving numerical problems

Yuyuan Liu, Zhitao Chen, Xin Cheng, Cansu Jin, Jiahuan Yu, Hao Liu

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128000L (2023) https://doi.org/10.1117/12.3004092
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Swarm intelligence has been the research focus of optimization problems, but there is no specific description and comparison of the most suitable application dimensions and scenarios for the recent swarm intelligence optimization algorithm. In this paper, the newly emerging swarm intelligence optimization algorithm in recent years is selected for numerical simulation experiments, and qualitative and statistical analysis is carried out, and the optimal optimization algorithm in different dimensions and test set is obtained, which provides faster convergence speed and better convergence algorithm for parameter optimization researchers under different situations.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuyuan Liu, Zhitao Chen, Xin Cheng, Cansu Jin, Jiahuan Yu, and Hao Liu "A comparative analysis of the new nearest swarm intelligent optimization algorithm for solving numerical problems", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128000L (11 October 2023); https://doi.org/10.1117/12.3004092

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