Integration of intelligent information technologies ensembles with self-configuring genetic programming algorithm

Self-configuring genetic programming algorithm with the modified uniform crossover operator, that realizes a selective pressure on the recombination stage, is used for the automated integration of the computational intelligence technique ensembles. Ensemble members are the symbolic regression formulas, the artificial neural networks or their combination. They are also designed automatically with the self-configuring genetic programming algorithm. The comparative analysis of the approach performance is given on the benchmark and real world problems.