研究者情報 | 神奈川大学

リ　カセイ Ri Kasei 李　嘉誠所属神奈川大学情報学部システム数理学科職種助教
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
招待論文	招待あり
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
担当区分	筆頭著者,最終著者,責任著者
著者・共著者	Jiacheng Li, Masato Noto, and Yang Zhang
概要	The Standard WSO algorithm has several shortcomings, in- cluding 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 hy- brid strategy. To begin with, the initialization of the population was done using hypercube sampling. Additionally, diversification of the pop- ulation during iteration process was achieved by adopting sine/cosine strategy, Cauthy 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 algo- rithm based on hybrid strategy significantly improves both optimization accuracy and convergence speed.