Variable Neighborhood Search for Solving the Balanced Location Problem

Q2 Mathematics Electronic Notes in Discrete Mathematics Pub Date : 2012-12-01 DOI:10.1016/j.endm.2012.10.004

Jozef Kratica , Markus Leitner , Ivana Ljubić

引用次数: 6

Abstract

In this paper we propose a general variable neighborhood search approach for the balanced location problem. Next to large shaking neighborhoods, the embedded variable neighborhood descent utilizes three neighborhood structures that focus on different solution aspects. By a computational study, we show that this VNS outperforms existing methods with respect to average solution quality and stability.

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求解平衡定位问题的变邻域搜索

本文提出了一种求解平衡定位问题的通用变量邻域搜索方法。在大震动邻域的旁边，嵌入变量邻域下降利用三个邻域结构，关注不同的解决方案。通过计算研究，我们表明该VNS在平均解质量和稳定性方面优于现有方法。

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

Electronic Notes in Discrete Mathematics Mathematics-Discrete Mathematics and Combinatorics

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1.30

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0.00%

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