For genetic algorithms, new variants of the uniform crossover operator that introduce selective pressure on the recombination stage are proposed. Operator probabilistic rates based approach to genetic algorithms self-configuration is suggested. The usefulness of the proposed modifications is demonstrated on benchmark tests and real world problems. © 2012 Springer-Verlag.
CITATION STYLE
Semenkin, E., & Semenkina, M. (2012). Self-configuring genetic algorithm with modified uniform crossover operator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7331 LNCS, pp. 414–421). https://doi.org/10.1007/978-3-642-30976-2_50
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