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An approximation algorithm for stochastic multi-level facility location problem with soft capacities

Author

Listed:
  • Chenchen Wu

    (Tianjin University of Technology)

  • Donglei Du

    (University of New Brunswick)

  • Yue Kang

    (Beijing University of Technology)

Abstract

Facility location problem is one of the most important problems in the combinatorial optimization. The multi-level facility location problem and the facility location with capacities are important variants for the classical facility location problem. In this work, we consider the multilevel facility location problem with soft capacities in the uncertain scenario. The uncertainty setting means the location process is stochastic. We consider a two-stage model. The soft-capacities setting means each facility has multiple capacities by paying multiple opening cost. The multi-level setting means the client needs to connect to a path. We propose a bifactor $$ (1/\alpha ,6/(1-2\alpha ) )$$(1/α,6/(1-2α))-approximation algorithm for the stochastic multi-level facility location problem (SMLFLP), where $$ \alpha \in (0,0.5) $$α∈(0,0.5) is a given constant. Then, we reduce the stochastic multi-level facility location problem with soft capacities to SMLFLP. The reduction implies a $$ \left( 1/\alpha + 6/(1-2\alpha ) \right) $$1/α+6/(1-2α)-approximation algorithm. The ratio is 14.9282 when setting $$ \alpha = 0.183 $$α=0.183.

Suggested Citation

  • Chenchen Wu & Donglei Du & Yue Kang, 0. "An approximation algorithm for stochastic multi-level facility location problem with soft capacities," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-13.
  • Handle: RePEc:spr:jcomop:v::y::i::d:10.1007_s10878-020-00538-8
    DOI: 10.1007/s10878-020-00538-8
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    References listed on IDEAS

    as
    1. Min Li & Dachuan Xu & Dongmei Zhang & Tong Zhang, 2019. "A Streaming Algorithm for k-Means with Approximate Coreset," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(01), pages 1-18, February.
    2. Dongmei Zhang & Dachuan Xu & Yishui Wang & Peng Zhang & Zhenning Zhang, 2018. "A local search approximation algorithm for a squared metric k-facility location problem," Journal of Combinatorial Optimization, Springer, vol. 35(4), pages 1168-1184, May.
    3. Lu Han & Dachuan Xu & Donglei Du & Dongmei Zhang, 2018. "A local search approximation algorithm for the uniform capacitated k-facility location problem," Journal of Combinatorial Optimization, Springer, vol. 35(2), pages 409-423, February.
    Full references (including those not matched with items on IDEAS)

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