研究者情報 | 神奈川大学

ノト　マサト Noto Masato 能登　正人所属神奈川大学情報学部システム数理学科神奈川大学大学院工学研究科工学専攻（電気電子情報工学領域）職種教授
言語種別	英語
発行・発表の年月	2024/03
形態種別	学術雑誌
査読	査読あり
標題	Improved War Strategy Optimization Algorithm Based on Hybrid Strategy
執筆形態	共著
掲載誌名	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
掲載区分	国外
出版社・発行元	Springer Nature
巻・号・頁	554,pp.149-159
著者・共著者	J. Li, M. Noto, Y. Zhang
概要	The Standard WSO algorithm has several shortcomings, including uneven distribution of initial population, slow convergence speed, and weak global search ability. To address these issues, the present study proposes an improved War Strategy Optimization (WSO) based on hybrid strategy. To begin with, the initialization of the population was done using hypercube sampling. Additionally, diversification of the population during iteration process was achieved by adopting sine/cosine strategy, Cauchy mutation and backward learning strategy. Furthermore, to enhance capabilities in global search and local development, operator retention strategy from simulated annealing algorithm was employed. Finally, three test function optimization experiments were conducted which demonstrated that the proposed war strategy optimization algorithm based on hybrid strategy significantly improves both optimization accuracy and convergence speed.