Detail publikace

GA with Fuzzy Inference System

Originální název

GA with Fuzzy Inference System

Anglický název

GA with Fuzzy Inference System

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.

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.

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"
}