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New heuristic algorithms for solving the planar p-median problem

机译:解决平面p中值问题的新启发式算法

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In this paper we propose effective heuristics for the solution of the planar p-median problem. We develop a new distribution based variable neighborhood search and a new genetic algorithm, and also test a hybrid algorithm that combines these two approaches. The best results were obtained by the hybrid approach. The best known solution was found in 466 out of 470 runs, and the average solution was only 0.000016% above the best known solution on 47 well explored test instances of 654 and 1060 demand points and up to 150 facilities. (C) 2014 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了有效的启发式方法来求解平面p中值问题。我们开发了一种基于分布的新变量邻域搜索和一种新的遗传算法,并测试了结合了这两种方法的混合算法。通过混合方法可获得最佳结果。在470次运行中有466次发现了最著名的解决方案,在654个和1060个需求点以及多达150个设施的47个经过充分测试的测试实例上,平均解决方案仅比最著名的解决方案高0.000016%。 (C)2014 Elsevier Ltd.保留所有权利。

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