The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths

Location problems exist in the real world and they mainly deal with finding optimal locations for facilities in a network, such as net servers, hospitals, and shopping centers. The inverse location problem is also often met in practice and has been intensively investigated in the literature. As a ty...

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Main Authors: Longshu Wu, Joonwhoan Lee, Jianhua Zhang, Qin Wang
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/313868
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spelling doaj-d35a42dbea894ed18da77072e82bc4d32020-11-24T22:55:23ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/313868313868The Inverse 1-Median Problem on Tree Networks with Variable Real Edge LengthsLongshu Wu0Joonwhoan Lee1Jianhua Zhang2Qin Wang3College of Science, China Jiliang University, Hangzhou 310018, ChinaDivision of Computer Science and Engineering, Chonbuk National University, Jeonju, Jeonbuk 561-756, Republic of KoreaCollege of Computer Science, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Science, China Jiliang University, Hangzhou 310018, ChinaLocation problems exist in the real world and they mainly deal with finding optimal locations for facilities in a network, such as net servers, hospitals, and shopping centers. The inverse location problem is also often met in practice and has been intensively investigated in the literature. As a typical inverse location problem, the inverse 1-median problem on tree networks with variable real edge lengths is discussed in this paper, which is to modify the edge lengths at minimum total cost such that a given vertex becomes a 1-median of the tree network with respect to the new edge lengths. First, this problem is shown to be solvable in linear time with variable nonnegative edge lengths. For the case when negative edge lengths are allowable, the NP-hardness is proved under Hamming distance, and strongly polynomial time algorithms are presented under l1 and l∞ norms, respectively.http://dx.doi.org/10.1155/2013/313868
collection DOAJ
language English
format Article
sources DOAJ
author Longshu Wu
Joonwhoan Lee
Jianhua Zhang
Qin Wang
spellingShingle Longshu Wu
Joonwhoan Lee
Jianhua Zhang
Qin Wang
The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths
Mathematical Problems in Engineering
author_facet Longshu Wu
Joonwhoan Lee
Jianhua Zhang
Qin Wang
author_sort Longshu Wu
title The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths
title_short The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths
title_full The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths
title_fullStr The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths
title_full_unstemmed The Inverse 1-Median Problem on Tree Networks with Variable Real Edge Lengths
title_sort inverse 1-median problem on tree networks with variable real edge lengths
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description Location problems exist in the real world and they mainly deal with finding optimal locations for facilities in a network, such as net servers, hospitals, and shopping centers. The inverse location problem is also often met in practice and has been intensively investigated in the literature. As a typical inverse location problem, the inverse 1-median problem on tree networks with variable real edge lengths is discussed in this paper, which is to modify the edge lengths at minimum total cost such that a given vertex becomes a 1-median of the tree network with respect to the new edge lengths. First, this problem is shown to be solvable in linear time with variable nonnegative edge lengths. For the case when negative edge lengths are allowable, the NP-hardness is proved under Hamming distance, and strongly polynomial time algorithms are presented under l1 and l∞ norms, respectively.
url http://dx.doi.org/10.1155/2013/313868
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