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15 August 2023 Research on Grey Wolf optimization algorithm based on dynamic weighting
Binggao He, Muxuan Sui, Rui Wang, Lizheng Wang
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Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127194X (2023) https://doi.org/10.1117/12.2685747
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
In response to the Grey Wolf Optimization (GWO) algorithm, the issue of unbalanced global and local search capabilities, as well as convergence speed and search mechanism. This article proposes a grey wolf optimization algorithm based on dynamic weights. By introducing a nonlinear convergence factor and initializes the population using a logistic map. The search technique is enhanced to achieve more varied location choices and more international individuals by using |A| to reselect the location calculation algorithm for gray wolves. Finally, combined with a dynamic weight strategy, the search mechanism of the GWO algorithm is improved. Standard function testing revealed that the revised technique presented in this study outperformed the baseline GWO algorithm in terms of accuracy and convergence speed, as well as stability and generalizability.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Binggao He, Muxuan Sui, Rui Wang, and Lizheng Wang "Research on Grey Wolf optimization algorithm based on dynamic weighting", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127194X (15 August 2023); https://doi.org/10.1117/12.2685747
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KEYWORDS
Mathematical optimization
Algorithm development
Reverse modeling
Electronics engineering
Engineering
Modeling
Nonlinear optimization
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