Polyhedral methods for the maximum clique problem

E. Balas, Sebastián Ceria, G. Cornuéjols, G. Pataki
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引用次数: 65

Abstract

Abstract : This paper presents an integer programming approach to the maximum clique problem. An initial linear programming relaxation is solved and, when there is an integrality gap, this relaxation is strengthened using one of several tightening procedures. This is done through the addition of cutting planes to the linear program. The bulk of the paper deals with theoretical and computational issues associated with the generation of these cuts. In particular, we describe how to obtain cuts from the positive semi-definiteness of an underlying matrix. The various cuts are then compared in a computational experiment. These cuts can be incorporated into a branch-and-cut algorithm and we report results with such an algorithm on some of the DIMACS benchmark instances. (AN)
最大团问题的多面体方法
摘要:本文提出了求解最大团问题的整数规划方法。求解初始线性规划松弛,当存在完整性间隙时,使用几种收紧程序之一来加强松弛。这是通过在线性程序中添加切割平面来完成的。论文的大部分内容涉及与这些切割产生相关的理论和计算问题。特别地,我们描述了如何从底层矩阵的正半确定性中得到切。然后在计算实验中比较各种切割。这些切割可以合并到分支-切割算法中,我们在一些DIMACS基准实例上报告使用这种算法的结果。(一)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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