Finding a maximum clique in an arbitrary graph
SIAM Journal on Computing
On the hardness of approximating minimization problems
Journal of the ACM (JACM)
New methods to color the vertices of a graph
Communications of the ACM
A Branch and Bound Algorithm for the Stability Number of a Sparse Graph
INFORMS Journal on Computing
A cutting plane algorithm for graph coloring
Discrete Applied Mathematics
A Branch-and-Cut algorithm for graph coloring
Discrete Applied Mathematics - Special issue: IV ALIO/EURO workshop on applied combinatorial optimization
Computers and Operations Research
Fast local search for the maximum independent set problem
WEA'08 Proceedings of the 7th international conference on Experimental algorithms
Exact solutions to linear programming problems
Operations Research Letters
An exact approach for the Vertex Coloring Problem
Discrete Optimization
Note: Quantum annealing of the graph coloring problem
Discrete Optimization
A new DSATUR-based algorithm for exact vertex coloring
Computers and Operations Research
Improving the accuracy of linear programming solvers with iterative refinement
Proceedings of the 37th International Symposium on Symbolic and Algebraic Computation
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The best known method for determining lower bounds on the vertex coloring number of a graph is the linear-programming columngeneration technique first employed by Mehrotra and Trick in 1996. We present an implementation of the method that provides numerically safe results, independent of the floating-point accuracy of linear-programming software. Our work includes an improved branch-and-bound algorithm for maximum-weight stable sets and a parallel branch-and-price framework for graph coloring. Computational results are presented on a collection of standard test instances, including the unsolved challenge problems created by David S. Johnson in 1989.