The subdivision-constrained minimum spanning tree problem

The subdivision-constrained minimum spanning tree problem
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细分约束的最小生成树问题

DOI:
10.1016/j.tcs.2008.12.038
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发表时间:
2009-03
影响因子:
1.1
通讯作者:
Li, Jianping
Li, Jianping
中科院分区:
计算机科学4区
文献类型:
--
作者:
Li, Weidong;Zhang, Tongquan;Zhang, Zhongxu;Li, Jianping

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受Hassin和Levin [R. Hassin,A. Levin,An efficient polynomial time approximation scheme for the constrained minimum spanning tree problem using matroid intersection,SIAM Journal on Computing 33(2)(2004)261-268],本文研究了一个新的组合优化问题,称为一般细分约束生成树问题(GSCST):给定图G=(V,E; w,c),其中对于每条边e∈E,有两个非负整数w(e)和c(e),两个正整数B和d,GSCST问题是首先找到G的具有权重的生成树T=(V,ET)[公式:然后在T中的一些合适的边上插入一些新的顶点,使得T的细分树T′中的每条边的权重不超过d。目标是使成本最小化[公式:在满足上述两个约束条件的情况下,在G的所有生成树中的合适的边上插入这样的新顶点,其中通过在T中的合适的边上插入一些新顶点来构造T的细分树T′,值insert(e)= dlw(e)d lw-1是插入的顶点的最少数量,c(e)是插入在边e上的每个顶点的成本。主要结果如下:(1)GSCST问题及其变形仍然是NP-难的,分别是0-1背包问题的一个约化:(2)GSCST问题及其变形与CST问题是多项式等价的,这意味着存在一个多项式时间的近似方案来求解GSCST问题及其变形;(3)设计了三个强多项式时间算法,分别求解GSCST问题的特殊形式及其变形。
Motivated by the constrained minimum spanning tree (CST) problem in Hassin and Levin [R. Hassin, A. Levin, An efficient polynomial time approximation scheme for the constrained minimum spanning tree problem using matroid intersection, SIAM Journal on Computing 33 (2) (2004) 261–268], we study a new combinatorial optimization problem in this paper, called the general subdivision-constrained spanning tree problem (GSCST): given a graph G=(V,E;w,c) with two nonnegative integers w(e) and c(e) for each edge e∈E, two positive integers B and d, the GSCST problem is to first find a spanning tree T=(V,ET) of G with weight [Formula: see text] and then to insert some new vertices on some suitable edges in T such that each edge in the subdivision tree T′of T has its weight not beyond d. The objective is to minimize the cost [Formula: see text] of such new vertices inserted on the suitable edges among all spanning trees of G subject to the two preceding constraints, where a subdivision tree T′of T is constructed by inserting some new vertices on the suitable edges in T, the value insert(e)=⌈w(e)d⌉−1 is the least number of vertices inserted and c(e) is the cost of each vertex inserted on the edge e. We obtain the following main results: (1) the GSCST problem and its variant are still NP-hard, by a reduction from the 0–1 knapsack problem, respectively; (2) the GSCST problem as well as its variant is polynomially equivalent to the CST problem, which implies the existence of a polynomial time approximation scheme to solve the GSCST problem and its variant; (3) we finally design three strongly polynomial time algorithms to solve the special versions of the GSCST problem and its variant, respectively.
DOI: 10.2307/2282945
发表时间: 1966-10
影响因子: 3.7
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影响因子: --
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