Note on the Inverse Metric Traveling Salesman Problem Against the Minimum Spanning Tree Algorithm

In this paper, we consider an interesting variant of the inverse minimum traveling salesman problem. Given an in-stance (G, w) of the minimum traveling salesman problem defined on a metric space, we fix a specified Hamiltonian cycle HC0. The task is then to adjust the edge cost vector w to w' s...

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Bibliographic Details
Published inManagement science & financial engineering Vol. 20; no. 1; pp. 17 - 19
Main Author Chung, Yerim
Format Journal Article
LanguageEnglish
Published Seoul 한국경영과학회 01.05.2014
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Summary:In this paper, we consider an interesting variant of the inverse minimum traveling salesman problem. Given an in-stance (G, w) of the minimum traveling salesman problem defined on a metric space, we fix a specified Hamiltonian cycle HC0. The task is then to adjust the edge cost vector w to w' so that the new cost vector w' satisfies the triangle inequality condition and HC0 can be returned by the minimum spanning tree algorithm in the TSP-instance defined with w'. The objective is to minimize the total deviation between the original and the new cost vectors with respect to the L1-norm. We call this problem the inverse metric traveling salesman problem against the minimum spanning tree algorithm and show that it is closely related to the inverse metric spanning tree problem. KCI Citation Count: 1
Bibliography:G704-000073.2014.20.1.001
ISSN:2287-2043
2287-2361
DOI:10.7737/MSFE.2014.20.1.017