Fuzzy Adaptive Search Method for Genetic Programming
Faculty of Information Science and Technology, Osaka Electro-Communication University 18-8, Hatsu-cho, Neyagawa, Osaka 572-8530, Japan
The greatest problem of genetic programming (GP) is the large amount of calculation. We propose two methods for an efficient GP search – RPGP reducing void searches by pruning redundant nodes in GP and FASGP enabling proper search by tuning a mutation and crossover rate by fuzzy rules. Simulation proved the effectiveness of our proposal.
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