Capacitated two-stage facility location problem with fuzzy costs and demands

Shuming Wang, Junzo Watada

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    In this study, we develop a two-stage capacitated facility location model with fuzzy costs and demands. The proposed model is a task of 0-1 integer two-stage fuzzy programming problem. In order to solve the problem, we first apply an approximation approach to estimate the objective function (with fuzzy random parameters) and prove the convergence of the approach. Then, we design a hybrid algorithm which integrates the approximation approach, neural network and particle swarm optimization, to solve the proposed facility location problem. Finally, a numerical example is provided to test the hybrid algorithm.

    Original languageEnglish
    Pages (from-to)65-74
    Number of pages10
    JournalInternational Journal of Machine Learning and Cybernetics
    Volume4
    Issue number1
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Particle swarm optimization (PSO)
    Costs
    Neural networks

    Keywords

    • Fuzzy variable
    • Location
    • Neural network
    • Particle swarm optimization
    • Two-stage fuzzy programming

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software
    • Computer Vision and Pattern Recognition

    Cite this

    Capacitated two-stage facility location problem with fuzzy costs and demands. / Wang, Shuming; Watada, Junzo.

    In: International Journal of Machine Learning and Cybernetics, Vol. 4, No. 1, 2013, p. 65-74.

    Research output: Contribution to journalArticle

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