Fuzzy Tools to Improve Genetic Algorithms 1

Abstract

We propose two fuzzy tools to improve the genetic algorithms behaviour. The use of fuzzy connectives to design crossover operators for real coded genetic algorithms (RCGA), and the use of fuzzy logic based systems for the dynamic control paprameters of RCGA based on diversity measures between chromosomes and alleles. 

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