Adaptive Genetic Algorithms Based on Fuzzy Techniques
نویسندگان
چکیده
The genetic algorithm behaviour is determined by the exploitation and exploration relationship kept throughout the run. Adap-tive genetic algorithms have been built for inducing suitable exploitation/exploration relationships for avoiding the premature convergence problem. Some adaptive genetic algorithms are built using fuzzy logic techniques. In this paper, we summarize two types of such approaches. The rst one concerns dynamic crossover operators based on parameterized fuzzy connectives and the second one deals with adaptive real-coded genetic algorithms based on the use of fuzzy logic controllers.
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