An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem

Vincenzo Cutello (), Giuseppe Nicosia () and Mario Pavone ()
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Vincenzo Cutello: University of Catania
Giuseppe Nicosia: University of Catania
Mario Pavone: University of Catania

Journal of Combinatorial Optimization, 2007, vol. 14, issue 1, No 2, 9-33

Abstract: Abstract We present a new Immune Algorithm, IMMALG, that incorporates a Stochastic Aging operator and a simple local search procedure to improve the overall performances in tackling the chromatic number problem (CNP) instances. We characterize the algorithm and set its parameters in terms of Kullback Entropy. Experiments will show that the IA we propose is very competitive with the state-of-art evolutionary algorithms.

Keywords: Immune Algorithm; Information Gain; Graph coloring problem; Chromatic number problem; Combinatorial optimization (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10878-006-9036-2

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