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	2022/10
形態種別	学術雑誌
査読	査読あり
招待論文	招待あり
標題	A dynamic mutation particle swarm optimization algorithm
執筆形態	共著
掲載誌名	RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent Systems
掲載区分	国外
出版社・発行元	ACM
巻・号・頁	pp.33-38
著者・共著者	Yang Zhang, Jiacheng Li, Lei Li
概要	In view of the drawbacks of the conventional particle swarm optimization algorithm, such as the ease of falling into local extreme values, poorer diversity, and slower convergence speed in subsequent optimization, a dynamic mutation particle swarm optimization algorithm (DMPSO) is proposed. On the basis of the characteristics of the particle swarm optimization algorithm, such as a fast convergence speed and simple mechanism, the mutation mechanism of the genetic algorithm is introduced. We redesigned the dynamic inertia weight and mutation rate, and we added a ratio adjustment formula for speed, which accelerates the convergence speed of the algorithm and improves its optimization performance. In an experiment, six benchmark functions were selected for an optimization test, and the results show that the proposed method has a faster convergence speed and better optimization performance.