Fuzzy Adaptive Search Method for Genetic Programming
Yoichiro Maeda · Journal of Advanced Computational Intelligence and Intelligent Informatics · 1999
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.