Publication result detail

GA with Fuzzy Inference System

MATOUŠEK, R., OŠMERA, P., ROUPEC, J.

Original Title

GA with Fuzzy Inference System

English Title

GA with Fuzzy Inference System

Type

Paper in proceedings (conference paper)

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

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

Key words in English

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

Authors

MATOUŠEK, R., OŠMERA, P., ROUPEC, J.

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

646

Pages to

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",
  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"
}