Title :
Self-configuring genetic programming algorithm with modified uniform crossover
Author :
Semenkin, Eugene ; Semenkina, Maria
Author_Institution :
Inst. of Comput. Sci. & Telecommun., Siberian State Aerosp. Univ., Krasnoyarsk, Russia
Abstract :
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.
Keywords :
genetic algorithms; GP self-configuration; benchmark test; operator probabilistic rates; real world problems; recombination stage; selective pressure; self-configuring genetic programming algorithm; uniform crossover operators; Algorithm design and analysis; Classification algorithms; Genetic algorithms; Genetic programming; Heuristic algorithms; Reliability; Tuning; Genetic programming; classification; selective pressure recombination; self-configuration; symbolic regression; uniform crossover;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6256587
