A hybrid BPSO approach for fuzzy facility location problems with VaR

Shuming Wang*, Junzo Watada

*この研究の対応する著者

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    In this paper, a fuzzy facility location model with Value at Risk (VaR) is proposed, which is a two-stage fuzzy zero-one integer programming. Since the fuzzy parameters of the location problem are continuous fuzzy variables with an infinite support, the computation of VaR is inherently an infinite-dimensional optimization problem, which can not be solved analytically. In order to solve the model, first of all, the objective function VaR is approximated through discretization method of fuzzy variables. Therefore, the original problem is converted to the task of a finite-dimensional optimization. Then, a hybrid heuristic algorithm integrating binary particle swarm optimization (BPSO), simplex algorithm and the approximation approach is designed to solve the location model. Finally, a numerical example is provided.

    本文言語English
    ホスト出版物のタイトルProceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
    ページ43-46
    ページ数4
    DOI
    出版ステータスPublished - 2010
    イベント4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 - Shenzhen
    継続期間: 2010 12 132010 12 15

    Other

    Other4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
    CityShenzhen
    Period10/12/1310/12/15

    ASJC Scopus subject areas

    • 計算理論と計算数学
    • 理論的コンピュータサイエンス

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