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The positive edge criterion within COIN-OR's CLP

机译:COIN-OR的CLP中的上升沿标准

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This paper presents the first direct implementation of the positive edge criterion using COIN-OR's CLP, where it has been combined with the Devex pivot rule. Positive edge is designed to take advantage of degeneracy in linear programming. The original implementation, while yielding strong computational results, suffers from significant overhead caused by CPLEX not allowing modification of its standard pivot rules. We test the method over the same set of highly degenerate problems used by the original authors of positive edge. To test its robustness, we solve a set of linear problems from Mittelmann's library which contains instances with a wide range of degeneracy levels. These computational results show that below a degeneracy level of 25%, the positive edge criterion is on average neutral while above this threshold, it reaches an average run time speedup of 2.3, with a maximum at 4.2 on an instance with a 75% degeneracy level.
机译:本文介绍了使用COIN-OR的CLP首次直接实现上升沿准则,该准则已与Devex枢轴规则结合使用。设计上升沿是为了利用线性编程中的简并性。最初的实现虽然产生了强大的计算结果,但由于CPLEX不允许修改其标准数据透视规则而遭受了巨大的开销。我们在正边缘原始作者使用的同一组高度退化的问题上测试了该方法。为了测试其鲁棒性,我们从Mittelmann库中解决了一系列线性问题,该库包含具有多种简并度级别的实例。这些计算结果表明,退化程度低于25%时,上升沿标准处于平均中立状态,而高于此阈值时,上升沿平均速度达到2.3,在退化程度为75%的情况下,最大值达到4.2。 。

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