Authors: Daya Ram Gaur Ramesh Krishnamurti Rajeev Kohli
Publish Date: 2007/06/14
Volume: 115, Issue: 1, Pages: 65-72
Abstract
We consider a capacitated max kcut problem in which a set of vertices is partitioned into k subsets Each edge has a nonnegative weight and each subset has a possibly different capacity that imposes an upper bound on its size The objective is to find a partition that maximizes the sum of edge weights across all pairs of vertices that lie in different subsets We describe a localsearch algorithm that obtains a solution with value no smaller than 1 − 1/k of the optimal solution value This improves a previous bound of 1/2 for the max kcut problem with fixed though possibly different sizes of subsets
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