Publication 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

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Genetic algorithms, GA-FC, FIS, Control surface of GA, GA characteristics

RIV year

2001

Released

16.07.2000

Publisher

IEEE Service Center

Location

La Jolla, California, USA

ISBN

0-7803-6375-2

Book

2000 Congress on Evolutionary Computation

Pages from

646

Pages to

651

Pages count

6

BibTex


@inproceedings{BUT4161,
  author="Radomil {Matoušek} and Pavel {Ošmera} and Jan {Roupec}",
  title="GA with Fuzzy Inference System",
  annote="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.",
  address="IEEE Service Center",
  booktitle="2000 Congress on Evolutionary Computation",
  chapter="4161",
  institution="IEEE Service Center",
  year="2000",
  month="july",
  pages="646",
  publisher="IEEE Service Center",
  type="conference paper"
}