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Erschienen in:
1996 | ReviewPaper | Buchkapitel
Parallelizable evolutionary dynamics principles for solving the maximum clique problem
verfasst von : Marcello Pelillo, Immanuel M. Bomze
Erschienen in: Parallel Problem Solving from Nature — PPSN IV
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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An algorithm for approximately solving the maximum clique is presented which uses relaxation labeling neural network techniques, focusing on the continuous problem formulation: maximize a quadratic form over the standard simplex. We employ somewhat surprising connections of the latter problem with dynamic principles of evolutionary game theory, and give a detailed report on our numerical experiences with the method proposed.