A hybrid BPSO approach for fuzzy facility location problems with VaR

Shuming Wang, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
    Pages43-46
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 - Shenzhen
    Duration: 2010 Dec 132010 Dec 15

    Other

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

    Keywords

    • Binary particle swarm optimization
    • Facility location
    • Fuzzy variable
    • Two-stage fuzzy programming
    • Value at Risk

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Theoretical Computer Science

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  • Cite this

    Wang, S., & Watada, J. (2010). A hybrid BPSO approach for fuzzy facility location problems with VaR. In Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 (pp. 43-46). [5715366] https://doi.org/10.1109/ICGEC.2010.19