ON THE BOTTLENECK CAPACITY EXPANSION PROBLEMS ON NETWORKS
This article considers a class of bottleneck capacity expansion problems. Such problems aim to enhance bottleneck capacity to a certain level with minimum cost. Given a network G(V,A,C^-) consisting of a set of nodes V = {v1,v2,... ,vn}, a set of arcs A C {(vi,vj) | i = 1,2,...,n; j = 1,2,...,n} and...
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Published in | Acta Mathematica Scientia Vol. 26; no. 2; pp. 202 - 208 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
College of Management, Huazhong University of Science and Technology, Wuhan 430071, China%Department of Mathematics, City University of Hong Kong, Hong Kong, China
01.04.2006
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Subjects | |
Online Access | Get full text |
ISSN | 0252-9602 1003-3998 |
DOI | 10.1016/S0252-9602(06)60042-8 |
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Abstract | This article considers a class of bottleneck capacity expansion problems. Such problems aim to enhance bottleneck capacity to a certain level with minimum cost. Given a network G(V,A,C^-) consisting of a set of nodes V = {v1,v2,... ,vn}, a set of arcs A C {(vi,vj) | i = 1,2,...,n; j = 1,2,...,n} and a capacity vector C. The component C^-ij of C is the capacity of arc (vi, vj). Define the capacity of a subset A′ of A as the minimum capacity of the arcs in A, the capacity of a family F of subsets of A is the maximum capacity of its members. There are two types of expanding models. In the arc-expanding model, the unit cost to increase the capacity of arc (vi, vj) is ωij. In the node-expanding model, it is assumed that the capacities of all arcs (vi, vj) which start at the same node vi should be increased by the same amount and that the unit cost to make such expansion is wi. This article considers three kinds of bottleneck capacity expansion problems (path, spanning arborescence and maximum flow) in both expanding models. For each kind of expansion problems, this article discusses the characteristics of the problems and presents several results on the complexity of the problems. |
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AbstractList | O1; This article considers a class of bottleneck capacity expansion problems. Such problems aim to enhance bottleneck capacity to a certain level with minimum cost. Given a network G(V, A,(-C)) consisting of a set of nodes V = {v1, v2,………, vn}, a set of arcs A(∪-){(vi, vj) | i = 1, 2,………, n; j = 1, 2,………, n} and a capacity vector (-C). The component (-C)ij of (-C) is the capacity of arc (vi, vj). Define the capacity of a subset A' of A as the minimum capacity of the arcs in A, the capacity of a family F of subsets of A is the maximum capacity of its members. There axe two types of expanding models. In the arc-expanding model, the unit cost to increase the capacity of arc (vi, vj) is wij. In the node-expanding model, it is assumed that the capacities of all arcs (vi, vi) which start at the same node vi should be increased by the same amount and that the unit cost to make such expansion is wi. This article considers three kinds of bottleneck capacity expansion problems (path,spanning arborescence and maximum flow) in both expanding models. For each kind of expansion problems, this article discusses the characteristics of the problems and presents several results on the complexity of the problems. This article considers a class of bottleneck capacity expansion problems. Such problems aim to enhance bottleneck capacity to a certain level with minimum cost. Given a network G(V,A,C^-) consisting of a set of nodes V = {v1,v2,... ,vn}, a set of arcs A C {(vi,vj) | i = 1,2,...,n; j = 1,2,...,n} and a capacity vector C. The component C^-ij of C is the capacity of arc (vi, vj). Define the capacity of a subset A′ of A as the minimum capacity of the arcs in A, the capacity of a family F of subsets of A is the maximum capacity of its members. There are two types of expanding models. In the arc-expanding model, the unit cost to increase the capacity of arc (vi, vj) is ωij. In the node-expanding model, it is assumed that the capacities of all arcs (vi, vj) which start at the same node vi should be increased by the same amount and that the unit cost to make such expansion is wi. This article considers three kinds of bottleneck capacity expansion problems (path, spanning arborescence and maximum flow) in both expanding models. For each kind of expansion problems, this article discusses the characteristics of the problems and presents several results on the complexity of the problems. This article considers a class of bottleneck capacity expansion problems. Such problems aim to enhance bottleneck capacity to a certain level with minimum cost. Given a network G(V, A, ) consisting of a set of nodes V = {v1, v2, , vn}, a set of arcs A {(vi, vj) | i = 1, 2, , n; j = 1, 2, , n} and a capacity vector . The component of is the capacity of arc (vi, vj). Define the capacity of a subset A' of A as the minimum capacity of the arcs in A, the capacity of a family F of subsets of A is the maximum capacity of its members. There are two types of expanding models. In the arc-expanding model, the unit cost to increase the capacity of arc (vi, vj) is wij. In the node-expanding model, it is assumed that the capacities of all arcs (vi, vj) which start at the same node vi should be increased by the same amount and that the unit cost to make such expansion is wi. This article considers three kinds of bottleneck capacity expansion problems (path, spanning arborescence and maximum flow) in both expanding models. For each kind of expansion problems, this article discusses the characteristics of the problems and presents several results on the complexity of the problems. |
Author | 杨超 张建中 |
AuthorAffiliation | College of Management, Huazhong University of Science and Technology, Wuhan 430071, China Department of Mathematics, City University of Hong Kong, Hong Kong, China |
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Keywords | spanning arborescence Networks and graphs polyno mial algorithm maximum capacity |
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