Self-configuring genetic programming algorithm with modified uniform crossover

Eugene Stanislavovich Semenkin, Maria Semenkina · 2012

For genetic programming algorithms new variants of uniform crossover operators that introduce selective pressure on the recombination stage are proposed. Operators probabilistic rates based approach to GP self-configuration is suggested. Proposed modifications usefulness is demonstrated on benchmark test and real world problems.

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