Publication detail
GA with Fuzzy Inference System
MATOUŠEK, R. OŠMERA, P. ROUPEC, J.
Czech title
GA s fuzzy inferenčním systémem
English title
GA with Fuzzy Inference System
Type
conference paper
Language
en
Original abstract
Applications of Genetic Algorithms – GA for optimisation problems are widely known as well as their advatages and disadvantages compared with classical numerical methods. In practical tests, a GA appears a robust method with a broad range of applications. The determination af GA parameters cold be complicated. Thererfore for some real-life applications, several empirical observations of an experienced expert are needed top define these parameters. This fact degrades the applicability of a GA for most af real-world problems and users. Therefore, this article discusses some possibilities with setting GA parameters. The setting method of GA parameters is based on the fuzzy control of values of GA parameters. The feedback for the fuzzy control of GA parameters is realized by virtue of the behavior of some GA characteristics. The goal of this article is to present the conception of the solution and some new ideas.
Czech abstract
anotace
English abstract
Applications of Genetic Algorithms – GA for optimisation problems are widely known as well as their advatages and disadvantages compared with classical numerical methods. In practical tests, a GA appears a robust method with a broad range of applications. The determination af GA parameters cold be complicated. Thererfore for some real-life applications, several empirical observations of an experienced expert are needed top define these parameters. This fact degrades the applicability of a GA for most af real-world problems and users. Therefore, this article discusses some possibilities with setting GA parameters. The setting method of GA parameters is based on the fuzzy control of values of GA parameters. The feedback for the fuzzy control of GA parameters is realized by virtue of the behavior of some GA characteristics. The goal of this article is to present the conception of the solution and some new ideas.
Keywords in English
Genetic algorithms, GA-FC, FIS, Control surface of GA, GA characteristics
RIV year
2001
Released
16.07.2000
Publisher
IEEE Service Center
Location
La Jolla, California, USA
ISBN
0-7803-6375-2
Book
2000 Congress on Evolutionary Computation
Pages count
6
BIBTEX
@inproceedings{BUT4161,
author="Radomil {Matoušek} and Pavel {Ošmera} and Jan {Roupec},
title="GA with Fuzzy Inference System",
booktitle="2000 Congress on Evolutionary Computation",
year="2000",
month="July",
publisher="IEEE Service Center",
address="La Jolla, California, USA",
isbn="0-7803-6375-2"
}