Detail publikace
GA s fuzzy inferenčním systémem
MATOUŠEK, R. OŠMERA, P. ROUPEC, J.
Český název
GA s fuzzy inferenčním systémem
Anglický název
GA with Fuzzy Inference System
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
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.
Český abstrakt
anotace
Anglický abstrakt
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.
Klíčová slova anglicky
Genetic algorithms, GA-FC, FIS, Control surface of GA, GA characteristics
Rok RIV
2001
Vydáno
16.07.2000
Nakladatel
IEEE Service Center
Místo
La Jolla, California, USA
ISBN
0-7803-6375-2
Kniha
2000 Congress on Evolutionary Computation
Počet stran
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"
}