Abstract
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.
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Semenkin, E., Semenkina, M. (2012). Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_50
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DOI: https://doi.org/10.1007/978-3-642-30976-2_50
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