Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques
Michael A. Lee, Hideyuki Takagi · 1993
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 demonstrated improvement on an application not included in the design phase, which may indicate the general applicabilityof the Dynamic Parametric GA to a wide range of applications.