Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques

  title={Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques},
  author={Michael A. Lee and Hideyuki Takagi},
This paper proposes using fuzzy logic techniques to dynamically control parameter settings of genetic algorithms (GAs). We describe the Dynamic Parametric GA: a GA that uses a fuzzy knowledge-based system to control GA parameters. We then introduce a technique for automatically designing and tuning the fuzzy knowledgebase system using GAs. Results from initial experiments show a performance improvement over a simple static GA. One Dynamic Parametric GA system designed by our automatic method… CONTINUE READING

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