运筹与管理 ›› 2018, Vol. 27 ›› Issue (4): 35-38.DOI: 10.12005/orms. 2018. 0082

• 理论分析与方法探讨 • 上一篇    下一篇

软容量约束带随机需求的设施选址问题的近似算法

王星1, 徐大川2   

  1. 1.杭州电子科技大学 理学院数学系,浙江 杭州 310018;
    2.通讯作者,北京工业大学 数理学院,北京 100124
  • 收稿日期:2012-05-09 出版日期:2018-04-25
  • 作者简介:王星(1984-),女,博士,山东菏泽人,讲师,研究方向为组合优化;徐大川(1969-),男,博士,山东乳山人,教授,博士生导师,研究方向为运筹学。
  • 基金资助:
    国家自然科学基金项目(11531014)

Approximation Algorithm for the Facility Location Problem withSoft Capacities and Stochastic Demands

WANG Xing1, XU Da-chuan2   

  1. 1.School of Science, Hangzhou Dianzi University, Hangzhou 310018, China;
    2.Department of Applied Mathematics, Beijing University of Technology, Beijing 100124, China
  • Received:2012-05-09 Online:2018-04-25

摘要: 文考虑了软容量约束带随机需求的设施选址问题,根据此问题构造出一个无容量约束带随机需求的设施选址问题,通过求解无容量约束情形给出软容量情形的一个可行解,分析出近似比为6。

关键词: 软容量约束带随机需求, 近似算法, 近似比

Abstract: In this paper, we consider the facility location problem with soft capacities and stochastic demands. In this problem, given the facility set and client set, each client has a stochastic demand, and each facility has a capacity but can be open more than once. The opening cost of each facility is fixed, and the connection cost between each client and facility is also given. The objective is to open some facilities and connect each client to an open facility whose capacity can not be exceeded such that the total cost is minimized. For the facility location problem with soft capacities and stochastic demands, we design an approximation algorithm. First, we construct the corresponding uncapacitated facility location problem with stochastic demands for each capacity case. Second, We solve the uncapacitated facility location problem with stochastic demands and obtain a feasible solution. Third, we construct a feasible solution to the original problem. Finally, we analyze the running time of the algorithm. We prove that the approximation factor for the algorithm is 6.

Key words: soft capacities and stochastic demands, approximation algorithm, approximation factor

中图分类号: