Detail publikačního výsledku

GA with Fuzzy Inference System

MATOUŠEK, R., OŠMERA, P., ROUPEC, J.

Originální název

GA with Fuzzy Inference System

Anglický název

GA with Fuzzy Inference System

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

genetic algorithms; GA-FC; FIS; control surface of GA; GA characteristic

Klíčová slova v angličtině

genetic algorithms; GA-FC; FIS; control surface of GA; GA characteristic

Autoři

MATOUŠEK, R., OŠMERA, P., ROUPEC, J.

Vydáno

01.07.2000

Nakladatel

IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

Místo

La Jolla, California, USA

ISBN

0-7803-6375-2

Kniha

Congress on Evolutionary Computation CEC 00

Strany od

646

Strany do

651

Strany počet

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",
  pages="646--651",
  publisher="IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA",
  address="La Jolla, California, USA",
  doi="10.1109/CEC.2000.870359",
  isbn="0-7803-6375-2"
}