A Fuzzy Based Self-Adaptive Evolutionary Computation Algorithm
نویسنده
چکیده
The present work introduce a novel fuzzy approach to deal with the problem of parameter selection in the Evolutionay Computation EC Algorithms. In our approach a fuzzy clustering algorithm is used instead of a rule based system.The Fuzzy clustering gives freedom to the genetic algorithm to evolve simultaneously with the EC population.The crossover and mutation rates are optimized dynamically in principle, however, other parameters can also be improved with this approach.
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