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Minimax models for capacitated p-center problem in uncertain environment

Author

Listed:
  • Bo Zhang

    (Zhongnan University of Economics and Law)

  • Jin Peng

    (Huanggang Normal University)

  • Shengguo Li

    (Huanggang Normal University)

Abstract

The capacitated p-center problem is concerned with how to select p locations for facility centers and assign demand points to them such that the maximum distance between a demand point and its nearest center is minimized. This paper focuses on the capacitated p-center problem in an uncertain environment, in which demands and distances are regarded as uncertain variables. Consequently, two minimax models with uncertain parameters are formulated, and their crisp equivalences are investigated. Additionally, a hybrid algorithm based on the 99-method, a genetic algorithm and a tabu search algorithm is designed to solve the models. Finally, some numerical examples are presented to unveil the applications of the models and algorithm.

Suggested Citation

  • Bo Zhang & Jin Peng & Shengguo Li, 2021. "Minimax models for capacitated p-center problem in uncertain environment," Fuzzy Optimization and Decision Making, Springer, vol. 20(3), pages 273-292, September.
    • Handle: RePEc:spr:fuzodm:v:20:y:2021:i:3:d:10.1007_s10700-020-09343-8
    DOI: 10.1007/s10700-020-09343-8
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    References listed on IDEAS

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    1. R. S. Garfinkel & A. W. Neebe & M. R. Rao, 1977. "The m-Center Problem: Minimax Facility Location," Management Science, INFORMS, vol. 23(10), pages 1133-1142, June.
    2. Espejo, Inmaculada & Marín, Alfredo & Rodríguez-Chía, Antonio M., 2015. "Capacitated p-center problem with failure foresight," European Journal of Operational Research, Elsevier, vol. 247(1), pages 229-244.
    3. Zhang, Bo & Li, Hui & Li, Shengguo & Peng, Jin, 2018. "Sustainable multi-depot emergency facilities location-routing problem with uncertain information," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 506-520.
    4. Mordechai Jaeger & Jeff Goldberg, 1994. "Technical Note—A Polynomial Algorithm for the Equal Capacity p-Center Problem on Trees," Transportation Science, INFORMS, vol. 28(2), pages 167-175, May.
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    Cited by:

    1. Shen, Jiayu & Shi, Jianxin & Gao, Lingceng & Zhang, Qiang & Zhu, Kai, 2023. "Uncertain green product supply chain with government intervention," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 136-156.

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