In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …

Fuzzy Systems have shown their utility for solving a wide range of problems in different
application domains. The use of Genetic Algorithms for designing Fuzzy Systems allows us …

Genetic algorithms play a significant role, as search techniques for handling complex
spaces, in many fields such as artificial intelligence, engineering, robotics, etc. Genetic …

The use of genetic algorithms for designing fuzzy systems provides them with the learning
and adaptation capabilities and is called genetic fuzzy systems (GFSs). This topic has …

A CLASSIFIED REVIEW ON THE COMBINATION FUZZY LOGIC-GENETIC ALGORITHMS
BIBLIOGRAPHY: 1989-1995 1 Introduction Recentely, numerous Page 1 A CLASSIFIED …

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic
algorithms by John Holland in the early seventies, these two fields widely been subjects of …

This paper considers the application of a genetics-based learning algorithm to systems
based on fuzzy logic. One of the more active areas in the application of fuzzy logic is fuzzy …

Although fuzzy systems demonstrated their ability to solve different kinds of problems in
various applications, there is an increasing interest on augmenting them with learning …

This is a printed collection of the contents of the lecture “Genetic Algorithms: Theory and
Applications” which I gave first in the winter semester 1999/2000 at the Johannes Kepler …

The automatic de nition of a fuzzy system can be considered in many cases as an
optimization or search process. Genetic Algorithms (GAs) are the best known and most …