Abstract
In this paper we examine the gain of the performance obtained using multiple populations - that evolve in parallel - of the constraintgraph based evolutionary algorithm (in its dynamic adaptation operators version) with a migration policy. We show that a multiple populations approach outperforms a single population implementation when applying it to the 3-coloring problem. We also evaluate various migration policies.
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Nuñez, A., Riff, MC. (2000). Multiple Populations Guided by the Constraint-Graph for CSP. In: Monard, M.C., Sichman, J.S. (eds) Advances in Artificial Intelligence. IBERAMIA SBIA 2000 2000. Lecture Notes in Computer Science(), vol 1952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44399-1_47
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DOI: https://doi.org/10.1007/3-540-44399-1_47
Publisher Name: Springer, Berlin, Heidelberg
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