ノト マサト   Noto Masato
  能登 正人
   所属   神奈川大学  工学部 電気電子情報工学科
    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)
    神奈川大学大学院  工学研究科 工学専攻(生命機能工学領域)
   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.