Multi-Objective Particle Swarm Optimization Method for Flexible Job-shop Scheduling Problems

カテゴリ: 部門大会

論文No: SS2-2

グループ名: 【C】平成29年電気学会電子・情報・システム部門大会講演論文集

発行日: 2017/09/06

タイトル(英語): Multi-Objective Particle Swarm Optimization Method for Flexible Job-shop Scheduling Problems

著者名: Li Jiarong(早稲田大学),Hao Qianji(早稲田大学),Weng Wei(早稲田大学),Fujimura Shigeru(早稲田大学)

著者名(英語): Jiarong Li|Qianji Hao|Wei Weng|Shigeru Fujimura

要約(日本語): A particle swarm optimization (PSO) method using new pbest list and gbest list to select pbest and gbest for Multi-Objective Flexible Job Shop Scheduling Problems is proposed in this paper. To get the better performance and better diversity and convergence, some strategies to support this new method are also proposed. The performance of the proposed method is evaluated by comparing with Classic GA, PSO+SA and PSO+TS. The computational results have shown that the proposed method is efficient and effective for solving the multi-objective Flexible Flow Shop Scheduling Problems.

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