Fuzzified genetic algorithm with prefiltering for adaptive optimization

Jeongdal Kim, Andrew A. Kostrzewski, Dai Hyun Kim, Judy Chen, Anatoly A. Vasiliev, Gajendra D. Savant, Tomasz P. Jannson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997

Genetic algorithm performance has been improved by adaptively modifying genetic operators, and by filtering out recurring chromosomes from the fitness evaluation process. The enhanced genetic algorithm has been applied to neural network topology selection and function optimization. The performance of the algorithm was evaluated in multiple function and problem domains, where it showed superior convergence speed.

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