Self-configuring genetic algorithm with modified uniform crossover operator

Authors:
Eugene Semenkin;Maria Semenkina
Affiliations:
Department of System Analysis and Operation Research, Siberian State Aerospace University, Krasnoyarsk, Russian Federation;Department of System Analysis and Operation Research, Siberian State Aerospace University, Krasnoyarsk, Russian Federation
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2012

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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.