A tabu search heuristic for the concentrator location problem

V.J.M.F Filho , R.D Galvão
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引用次数: 52

Abstract

The concentrator location problem (CLP) is a classical problem in the network design literature. Given a set of candidate locations and the concentrator capacities, the problem is to answer the following related questions. How many concentrators should be used? Where should they be located? Which users are to be assigned to each concentrator? A Lagrangian relaxation is used to obtain lower bounds for this problem. The Lagrangian relaxation is complemented by a tabu search (TS) metaheuristic. Computational results are given for a set of randomly generated problems and for test problems available in the literature. The tabu search heuristic (TSH) is shown to be competitive with other solution procedures available for the problem.

集中器选址问题的禁忌搜索启发式算法
集中器位置问题(CLP)是网络设计文献中的一个经典问题。给定一组候选位置和集中器容量,问题是回答以下相关问题。应该使用多少集中器?它们应该在哪里?每个集中器将分配哪些用户?使用拉格朗日松弛来获得该问题的下界。拉格朗日松弛由禁忌搜索(TS)元启发式算法补充。给出了一组随机生成的问题和文献中可用的测试问题的计算结果。禁忌搜索启发式(TSH)被证明与其他可用于该问题的求解过程具有竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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