Approximating soft-capacitated facility location problem with uncertainty

被引:1
|
作者
Cai, Shuxin [1 ]
Yang, Wenguo [2 ]
Tang, Yaohua [1 ]
机构
[1] Grad Univ Chinese Acad Sci, Coll Engn & Informat Technol, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Sch Math Sci, Grad Univ, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Facility location; Approximation algorithm; 2-Stage; Robust; Stochastic; Soft-capacitated; ALGORITHMS;
D O I
10.1007/s10878-012-9573-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper we devise the stochastic and robust approaches to study the soft-capacitated facility location problem with uncertainty. We first present a new stochastic soft-capacitated model called The 2-Stage Soft Capacitated Facility Location Problem and solve it via an approximation algorithm by reducing it to linear-cost version of 2-stage facility location problem and dynamic facility location problem. We then present a novel robust model of soft-capacitated facility location, The Robust Soft Capacitated Facility Location Problem. To solve it, we improve the approximation algorithm proposed by Byrka et al. (LP-rounding algorithms for facility-location problems. CoRR, 2010a) for RFTFL and then treat it similarly as in the stochastic case. The improvement results in an approximation factor of alpha + 4 for the robust fault-tolerant facility location problem, which is best so far.
引用
收藏
页码:496 / 504
页数:9
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