Genetic Algorithm-Based Fuzzy System Design Using a New Representation Scheme
G. Tzafestas, N. Raptis, Triantafyllos Pimenides · DSpace - NTUA (National Technical University of Athens) · 2003
Abstracts: Genetic algorithms (GA’s) are powerful stochastic search algorithms for general problem solving. Their effectiveness asa,tool for evolving ,other systems has ,been early identified and has gained increasing research interest. Fuzzy systems may stronglybenefit fromGA’ ssince theyinvolve a quite large number of parametersthat needto be tuned forth e systemto achieve the required performance. Such parameters include (but are not limited