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An Unconstrained Quadratic Binary Programming Approach to the Vertex Coloring Problem
Authors:Gary A Kochenberger  Fred Glover  Bahram Alidaee  Cesar Rego
Institution:(1) School of Business, University of Colorado at Denver, Campus Box 165, P.O. Box 173364, Denver, Colorado, 80217-3364;(2) Leeds School of Business, University of Colorado at Boulder, Campus box 419, Boulder, Colorado, 80309;(3) Hearin Center for Enterprise Science, University of Mississippi, University, Mississippi, 38677
Abstract:The vertex coloring problem has been the subject of extensive research for many years. Driven by application potential as well as computational challenge, a variety of methods have been proposed for this difficult class of problems. Recent successes in the use of the unconstrained quadratic programming (UQP) model as a unified framework for modeling and solving combinatorial optimization problems have motivated a new approach to the vertex coloring problem. In this paper we present a UQP approach to this problem and illustrate its attractiveness with preliminary computational experience.
Keywords:graph coloring  combinatorial optimization  tabu search
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