Self-configuring genetic programming algorithm with modified uniform crossover

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...

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Bibliographic Details
Main Authors: Semenkin, E., Semenkina, M.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
classification
Classification algorithms
Genetic algorithms
Genetic programming
Heuristic algorithms
Reliability
selective pressure recombination
self-configuration
symbolic regression
Tuning
uniform crossover
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Description
Summary: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.
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2012.6256587