Cooperative Covering Problems on Networks

被引:16
作者
Averbakh, Igor [1 ]
Berman, Oded [2 ]
Krass, Dmitry [2 ]
Kalcsics, Joerg [3 ]
Nickel, Stefan [4 ]
机构
[1] Univ Toronto Scarborough, Dept Management, Toronto, ON, Canada
[2] Univ Toronto, Rotman Sch Management, Toronto, ON, Canada
[3] Tech Univ Clausthal, Inst Appl Stochast & Operat Res, Clausthal Zellerfeld, Germany
[4] Karlsruhe Inst Technol, Inst Operat Res, D-76021 Karlsruhe, Germany
基金
加拿大自然科学与工程研究理事会;
关键词
covering problems; networks; cooperative; finite dominating sets; integer programming formulations; LOCATION-PROBLEMS; COVERAGE;
D O I
10.1002/net.21549
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we consider the cooperative maximum covering location problem on a network. In this model, it is assumed that each facility emits a certain "signal" whose strength decays over distance according to some "signal strength function." A demand point is covered if the total signal transmitted from all the facilities exceeds a predefined threshold. The problem is to locate facilities so as to maximize the total demand covered. For the 2-facility problem, we present efficient polynomial algorithms for the cases of linear and piecewise linear signal strength functions. For the p-facility problem, we develop a finite dominant set, a mixed-integer programming formulation that can be used for small instances, and two heuristics that can be used for large instances. The heuristics use the exact algorithm for the 2-facility case. We report results of computational experiments. (C) 2014 Wiley Periodicals, Inc.
引用
收藏
页码:334 / 349
页数:16
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