کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1141595 | 957034 | 2009 | 6 صفحه PDF | دانلود رایگان |

This paper extends the recently introduced Phased Local Search (PLS) maximum clique algorithm to unweighted/weighted maximum independent set and minimum vertex cover problems. PLS is a stochastic reactive dynamic local search algorithm that interleaves sub-algorithms which alternate between sequences of iterative improvement, during which suitable vertices are added to the current sub-graph, and plateau search, during which vertices of the current sub-graph are swapped with vertices not contained in the current sub-graph. These sub-algorithms differ in their vertex selection techniques and also in the perturbation mechanism used to overcome search stagnation. PLS has no problem instance dependent parameters and achieves state-of-the-art performance over a large range of the commonly used DIMACS and other benchmark instances.
Journal: Discrete Optimization - Volume 6, Issue 2, May 2009, Pages 214–219