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	2010/10
形態種別	学術雑誌
査読	査読あり
標題	A Hybrid Particle Swarm Optimization Considering Accuracy and Diversity of Solutions
執筆形態	共著
掲載誌名	Proc. of The 2010 IEEE International Conference on Systems, Man, and Cybernetics
掲載区分	国外
巻・号・頁	pp.411-416
著者・共著者	T. Matsui, M. Noto, M. Numazawa
概要	In this study, we propose a method of remedying the drawback of PSO in that it tends to become trapped at a local solution, by maintaining the diversity of the search by a global search using the Lbest model in the early stages of the search, then switching to a local search by the Gbest model in the final stages. We also confirm the validity of this method by simulation experiments using benchmark problems. As a result, we confirmed that accuracy of discovery of the optimal solution was increased, although convergence on the solution was somewhat delayed.