A constructive heuristic for the uniform capacitated vertex k-center problem

Q2 Mathematics
José Alejandro Cornejo Acosta, Jesús García Díaz, Julio César Pérez Sansalvador, R. Z. Ríos-Mercado, Saúl Eduardo Pomares Hernández
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引用次数: 0

Abstract

The uniform capacitated vertex k-center problem is an \(\mathcal {NP} \) -hard combinatorial optimization problem that models real situations where k centers can only attend a maximum number of customers, and the travel time or distance from the customers to their assigned center has to be minimized. This paper introduces a polynomial-time constructive heuristic algorithm that exploits the relationship between this problem and the minimum capacitated dominating set problem. The proposed heuristic is based on the one-hop farthest-first heuristic that has proven effective for the uncapacitated version of the problem. We carried out different empirical evaluations of the proposed heuristics, including an analysis of the effect of a parallel implementation of the algorithm, which significantly improved the running time for relatively large instances.
一致容量顶点k-中心问题的构造性启发式算法
一致容量顶点k-中心问题是一个\(\mathcal{NP}\)-硬组合优化问题,它对真实情况进行建模,其中k个中心只能接待最大数量的客户,并且从客户到其指定中心的旅行时间或距离必须最小化。本文介绍了一种多项式时间构造启发式算法,该算法利用了该问题与最小容量支配集问题之间的关系。所提出的启发式算法基于一跳最远第一启发式算法,该算法已被证明对问题的无能力版本有效。我们对所提出的启发式算法进行了不同的经验评估,包括对算法并行实现的效果的分析,这显著改善了相对较大实例的运行时间。
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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来源期刊
Journal of Experimental Algorithmics
Journal of Experimental Algorithmics Mathematics-Theoretical Computer Science
CiteScore
3.10
自引率
0.00%
发文量
29
期刊介绍: The ACM JEA is a high-quality, refereed, archival journal devoted to the study of discrete algorithms and data structures through a combination of experimentation and classical analysis and design techniques. It focuses on the following areas in algorithms and data structures: ■combinatorial optimization ■computational biology ■computational geometry ■graph manipulation ■graphics ■heuristics ■network design ■parallel processing ■routing and scheduling ■searching and sorting ■VLSI design
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