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A branch-and-bound algorithm for the minimum cut linear arrangement problem

机译:最小割线性布置问题的分支定界算法

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Given an edge-weighted graph G of order n, the minimum cut linear arrangement problem (MCLAP) asks to find a one-to-one map from the vertices of G to integers from 1 to n such that the largest of the cut values c 1,…,c n−1 is minimized, where c i , i∈{1,…,n−1}, is the total weight of the edges connecting vertices mapped to integers 1 through i with vertices mapped to integers i+1 through n. In this paper, we present a branch-and-bound algorithm for solving this problem. A salient feature of the algorithm is that it employs a dominance test which allows reducing the redundancy in the enumeration process drastically. The test is based on the use of a tabu search procedure developed to solve the MCLAP. We report computational results for both the unweighted and weighted graphs. In particular, we focus on calculating the cutwidth of some well-known graphs from the literature.
机译:给定n阶的边缘加权图G,最小切割线性排列问题(MCLAP)要求找到从G的顶点到1到n的整数的一对一映射,以使最大切割值c 1 ,…,cn-1 最小化,其中ci ,i∈{1,…,n-1}是连接到映射为整数1的顶点的边的总权重到i的顶点映射到整数i + 1到n。在本文中,我们提出了一种解决此问题的分支定界算法。该算法的一个显着特征是它采用了优势测试,该测试可以极大地减少枚举过程中的冗余。该测试基于为解决MCLAP而开发的禁忌搜索程序。我们报告未加权图和加权图的计算结果。特别地,我们着重于从文献中计算一些知名图的宽度。

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