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A Primal Approach to the Stable Set Problem

机译:稳定集问题的原始方法

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摘要

We present a new "primal" algorithm for the stable set problem. It is based on a purely combinatorial construction that can transform every graph into a perfect graph by replacing nodes with sets of new nodes. The transformation is done in such a way that every stable set in the perfect graph corresponds to a stable set in the original graph. The algorithm keeps a formulation of the stable set problem in a simplex-type tableau whose associated basic feasible solution is the incidence vector of the best known stable set. The combinatorial graph transformations are performed by substitutions in the generators of the feasible region. Each substitution cuts off a fractional neighbor of the current basic feasible solution. We show that "dual-type" polynomial-time separation algorithms carry over to our "primal" setting. Eventually, either a non-degenerate pivot leading to an integral basic feasible solution is performed, or the optimality of the current solution is proved.
机译:对于稳定集问题,我们提出了一种新的“原始”算法。它基于纯粹的组合结构,该结构可以通过用新节点集替换节点来将每个图转换为理想图。进行转换的方式是,完美图中的每个稳定集都对应于原始图中的稳定集。该算法在单形表中保持稳定集问题的表述,其相关的基本可行解是最著名的稳定集的发生向量。通过在可行区域的生成器中进行替换来执行组合图变换。每次替换都切断了当前基本可行解的小数邻居。我们表明,“双型”多项式-时间分离算法会延续到我们的“原始”设置中。最终,要么执行导致整体基本可行解的非退化枢轴,要么证明当前解的最优性。

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