An improved sparrow search algorithm based on weighted mutation and neighborhood perturbation

Shuiping Zhang; Zuopeng Li; Dianxing Liu

doi:10.1117/12.2656800

13 January 2023 An improved sparrow search algorithm based on weighted mutation and neighborhood perturbation

Shuiping Zhang, Zuopeng Li, Dianxing Liu

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125101F (2023) https://doi.org/10.1117/12.2656800
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

Aiming at the problems that sparrow search algorithm is easy to fall into local optimum, slow convergence speed and insufficient convergence accuracy, an Improved Sparrow Search Algorithm (ISSA) with weighted mutation and neighborhood perturbation is proposed. Improve the follower position update formula and add the weighted mutation differential evolution algorithm to maintain the population diversity and balance the global exploration and local development ability of the algorithm. Combining attack with reverse search and variable spiral position update, the algorithm perturbs the individual position around the optimal neighborhood, jumps out of the local optimization, and improves the convergence speed and accuracy of the algorithm. The performance of the improved algorithm is tested on 12 benchmark functions. The experimental results show that the improved algorithm has better optimization accuracy, convergence performance and stability.

Citation Download Citation

Shuiping Zhang, Zuopeng Li, and Dianxing Liu "An improved sparrow search algorithm based on weighted mutation and neighborhood perturbation", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125101F (13 January 2023); https://doi.org/10.1117/12.2656800

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