An overview of techniques for genetic evolution of fuzzy systems

An overview of techniques for genetic evolution of fuzzy systems

0.00 Avg rating0 Votes
Article ID: iaor20062875
Country: Spain
Volume: 8
Issue: 1
Start Page Number: 3
End Page Number: 12
Publication Date: May 2003
Journal: Fuzzy Economic Review
Authors: , ,
Keywords: economics, heuristics
Abstract:

Genetic algorithms have recently gained notoriety as search engines of remarkable power, successfully searching, in reasonably short times, spaces completely intractable to most traditional methods. The application of the genetic algorithm to the difficult problem of fuzzy system optimization has revealed that they are capable of refining nearly every aspect of the fuzzy system, generating near-optimal controllers, which exceed the capabilities of both hand designed and neurally optimized systems. A variety of research has begun to indicate that the genetic algorithm has the potential of generating highly optimized controllers without receiving any expert input whatsoever. In this paper we examine techniques used in applying the genetic algorithm to the optimization of a variety of fuzzy systems.

Reviews

Required fields are marked *. Your email address will not be published.