Finding a maximum clique in an arbitrary graph
SIAM Journal on Computing
Matrices with the Edmonds-Johnson property
Combinatorica
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computational Experience with Stable Set Relaxations
SIAM Journal on Optimization
TSP Cuts Which Do Not Conform to the Template Paradigm
Computational Combinatorial Optimization, Optimal or Provably Near-Optimal Solutions [based on a Spring School]
Branch-and-Cut Algorithms for Combinatorial Optimization and Their Implementation in ABACUS
Computational Combinatorial Optimization, Optimal or Provably Near-Optimal Solutions [based on a Spring School]
A Branch and Bound Algorithm for the Stability Number of a Sparse Graph
INFORMS Journal on Computing
Combinatorial Auctions: A Survey
INFORMS Journal on Computing
Maximum independent set and related problems, with applications
Maximum independent set and related problems, with applications
Optimal Protein Structure Alignment Using Maximum Cliques
Operations Research
Semidefinite programming relaxations for graph coloring and maximal clique problems
Mathematical Programming: Series A and B
Probabilistic checking of proofs; a new characterization of NP
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
A branch-and-cut algorithm for the maximum cardinality stable set problem
Operations Research Letters
An exact approach to the problem of extracting an embedded network matrix
Computers and Operations Research
A new approach to the stable set problem based on ellipsoids
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
Computational challenges with cliques, quasi-cliques and clique partitions in graphs
SEA'10 Proceedings of the 9th international conference on Experimental Algorithms
Analysis of integer programming algorithms with L-partition and unimodular transformations
Automation and Remote Control
An adaptive multistart tabu search approach to solve the maximum clique problem
Journal of Combinatorial Optimization
Hi-index | 0.00 |
This paper deals with the cutting-plane approach to the maximum stable set problem. We provide theoretical results regarding the facet-defining property of inequalities obtained by a known project-and-lift-style separation method called edge-projection, and its variants. An implementation of a Branch and Cut algorithm is described, which uses edge-projection and two other separation tools which have been discussed for other problems: local cuts (pioneered by Applegate, Bixby, Chvátal and Cook) and mod-k cuts. We compare the performance of this approach to another one by Rossi and Smiriglio (Oper. Res. Lett. 28:63---74, 2001) and discuss the value of the tools we have tested.