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带次模惩罚的优先设施选址问题的近似算法 被引量:1

Approximation algorithms for the priority facility location problem with submodular penalties
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摘要 研究带次模惩罚的优先设施选址问题,每个顾客都有一定的服务水平要求,开设的设施只有满足了顾客的服务水平要求,才能为顾客提供服务,没被服务的顾客对应一定的次模惩罚费用.目标是使得开设费用、连接费用与次模惩罚费用之和最小.给出该问题的整数规划、线性规划松弛及其对偶规划.基于原始对偶和贪婪增广技巧,给出该问题的两个近似算法,得到的近似比分别为3和2.375. In this paper, we study priority facility location problem with submodu- lar penalties where each client has a level-of-service requirement. An open facility must satisfy the requirement of the clients served by it, and there is a submodular penalty cost corresponding with the unserved clients. The objective is to minimize the sum of the opening cost, the connection cost and the submodular penalty cost. We present the integer program, the linear programming relaxation and the dual program for the prob- lem. Using the primal-dual and greedy augmentation techniques, we then propose two approximation algorithms and obtain the approximation ratios of 3 and 2.375 respectively.
出处 《运筹学学报》 CSCD 北大核心 2015年第2期1-14,共14页 Operations Research Transactions
基金 国家自然科学基金(No.11371001)
关键词 次模惩罚 优先设施选址 原始对偶 贪婪增广 近似算法 submodular penalties, priority facility location, primal-dual, greedy augmentation, approximation algorithm
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  • 1Shmoys D B, Tard6s 1, Aardal K I. Approximation algorithms for facility location problems [C]// Proceedings of STOC, New York: ACM, 1997, 265-274.
  • 2Jain K, Mahdian M, Saberi A. A new greedy approach for facility location problems [C]// Proceedings of the 34th ACM Symposium on Theory of Computing, New York: Association for Computing Machinery, 2002, 731-740.
  • 3Li S. A 1.488 approximation algorithm for the uncapacitated facility location problem [C]// Proceedings of the 38th International Colloquium on Automata, Languages and Programming, Part II, Springer, LNCS 6756, 2011, 77-88.
  • 4Jain K, Vazirani V V. Primal-dual approximation algorithms for metric facility location and k-median problems using the primal-dual schema and lagrangian relaxation [J]. Journal of the ACM, 2001, 48: 274-296.
  • 5Guha S, Khuller S. Greedy strike back: Improved facility location algorithms [J]. Journal of Algorithms, 1999, 31: 228-248.
  • 6Charikar M, Guha S. Improved combinatorial algorithms for facility location problems [J]. SIAM Journal on Computing, 2005 34: 803-824.
  • 7Charikar M, Khuller S, Mount D M, et al. Algorithms for facility location problems with outliers [C]// Proceedings of SODA, PA, USA: Society for Industrial and Applied Mathematics Philadelphia, 2001, 642-651.
  • 8Chudak F A, Nagano K. Efficient solutions to relaxations of combinatorial problems with submodular penalties via the lovasz extension and non-smooth convex optimization [C]//Pro- ceedings of SODA, PA, USA: Society for Industrial and Applied Mathematics Philadelphia, 2007, 79-88.
  • 9Hayrapetyan A, Swamy C, TardSs E. Network design for information networks [C]// Proceedings of SODA, PAt USA: Society for Industrial and Applied Mathematics Philadelphia, 2005, 933- 942.
  • 10Fishige S. Submodular Functions and Optimization [M]. Elsevier, 2005.

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