Publication detail
GA with Fuzzy Inference System
MATOUŠEK, R. OŠMERA, P. ROUPEC, J.
English title
GA with Fuzzy Inference System
Type
conference paper
Language
en
Original abstract
The determination of GA parameters could be complicated. Therefore for some real-life applications, several empirical observations of an experienced expert are needed to defme these parameters. This fact degrades the applicability of a GA for most of the real-world problems and users. 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.
English abstract
The determination of GA parameters could be complicated. Therefore for some real-life applications, several empirical observations of an experienced expert are needed to defme these parameters. This fact degrades the applicability of a GA for most of the real-world problems and users. 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 characteristic
RIV year
2000
Released
01.07.2000
Publisher
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Location
La Jolla, California, USA
ISBN
0-7803-6375-2
Book
Congress on Evolutionary Computation CEC 00
Pages from–to
646–651
Pages count
6
BIBTEX
@inproceedings{BUT1949,
author="Radomil {Matoušek} and Pavel {Ošmera} and Jan {Roupec},
title="GA with Fuzzy Inference System",
booktitle="Congress on Evolutionary Computation CEC 00",
year="2000",
month="July",
pages="646--651",
publisher="IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA",
address="La Jolla, California, USA",
isbn="0-7803-6375-2"
}