A novel optimization approach for multi-objective flexible job-shop scheduling problems

カテゴリ: 部門大会

論文No: SS4-5

グループ名: 【C】平成27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: 2015/08/27

タイトル(英語): A novel optimization approach for multi-objective flexible job-shop scheduling problems

著者名: Ran Xia(Waseda University),Yedan Wu(Waseda University),Shigeru Fujimura(Waseda University),Wei Weng(Waseda University)

著者名(英語): Ran Xia(Waseda University),Yedan Wu(Waseda University),Shigeru Fujimura(Waseda University),Wei Weng(Waseda University)

要約(日本語): In real life most scheduling problems are complex combinatorial optimization problems, so I concentrate on studying multi-objective flexible job shop problems, particle swarm algorithm (PSO) combined with other algorithm will be used to solve these problems. By improving the crossover and mutation part, it will be better to find the pareto-optimal solution and to realize the high search efficiency in both local search and global search.

PDFファイルサイズ: 1,154 Kバイト