《Diaby’s》等的反例。旅行商问题的线性规划解

IF 1.6 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2025-01-08 DOI:10.1155/cplx/3672180
Radosław Hofman
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引用次数: 0

摘要

本文给出了一种构造反例的方法,并给出了一个完整的反例,用于求解旅行商问题的线性规划模型。反例与Diaby等人提出的模型进行对比检验。然而,它适用于TSP问题的所有类似公式。尽管有问题的模型在2006年发表,并且对其正确性进行了几次讨论,但从未提出反例。给出的反例是一个正则图,其目的不是得到一个最小可能大小的例子;因此,重点在于清晰度。因此,反例在两个主集群中有366个节点,每个节点(在主部分)与集群中的其他节点有四个连接。
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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Counter-Example to Diaby’s et al. Linear Programming Solution to the Traveling Salesman Problem

This article presents a method of constructing counter-examples and a complete counter-example to the linear programming model alleged to be the solution to the traveling salesman problem. The counter-example is checked against the model proposed by Diaby et al. However, it applies to all similar formulations of the TSP problem.

Although the model in question was published in 2006, and there were several discussions regarding its correctness, the counter-example was never presented.

The presented counter-example is a regular graph, and the aim was not to have an example with the least possible size; therefore, the focus was on clarity. The counter-example has, therefore, 366 nodes in two main clusters, each node (in the main part) having exactly four connections to other nodes in the cluster.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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