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

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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.

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Acknowledgments

The work was supported partially by “Ambient SoC Global COE Program of Waseda University” of Ministry of Education, Culture, Sports, Science and Technology, Japan, and by the Research Fellowships of the Japan Society for the Promotion of Science (JSPS) for Young Scientists.

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Authors and Affiliations

  1. Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, 808-0135, Japan

    Shuming Wang & Junzo Watada

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  1. Shuming Wang
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  2. Junzo Watada
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Correspondence to Shuming Wang.

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Wang, S., Watada, J. Capacitated two-stage facility location problem with fuzzy costs and demands. Int. J. Mach. Learn. & Cyber. 4, 65–74 (2013). https://doi.org/10.1007/s13042-012-0073-0

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  • DOI: https://doi.org/10.1007/s13042-012-0073-0

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