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"
}