Finding maximum independent sets in graphs arising from coding theory
Proceedings of the 2002 ACM symposium on Applied computing
Cliques, Coloring, and Satisfiability: Second DIMACS Implementation Challenge, Workshop, October 11-13, 1993
Variable neighborhood search for the maximum clique
Discrete Applied Mathematics - The fourth international colloquium on graphs and optimisation (GO-IV)
Simple ingredients leading to very efficient heuristics for the maximum clique problem
Journal of Heuristics
Dynamic local search for the maximum clique problem
Journal of Artificial Intelligence Research
An effective local search for the maximum clique problem
Information Processing Letters
Efficient traversal of mesh edges using adjacency primitives
ACM SIGGRAPH Asia 2008 papers
Local search with edge weighting and configuration checking heuristics for minimum vertex cover
Artificial Intelligence
Safe lower bounds for graph coloring
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
NuMVC: an efficient local search algorithm for minimum vertex cover
Journal of Artificial Intelligence Research
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Given a graph G = (V, E), the independent set problem is that of finding a maximum-cardinality subset S of V such that no two vertices in S are adjacent. We present a fast local search routine for this problem. Our algorithm can determine in linear time whether a maximal solution can be improved by replacing a single vertex with two others. We also show that an incremental version of this method can be useful within more elaborate heuristics. We test our algorithms on instances from the literature as well as on new ones proposed in this paper.