Fuzzy genetic algorithm - a brief survey

Název česky

Typ

článek ve sborníku konference

Jazyk

anglicky

Autoři

Schwarz Josef, doc. Ing., CSc. (CK-SZZ)

Klíčová slova

fuzzy logic, genetic algorithms, dynamical setting of GA parameters, fuzzy logic controller FLC

Abstrakt

This paper deals with an aggregation of fuzzy logic and genetic algorithms GAs. This integration brings an improvement of GAs behaviour. The main attention is focused on the approaches based on the dynamical setting of GA parameters using fuzzy logic controller FLC. The fuzzy computation is also discussed based on the fuzzy encoding and knowledge of problem granularity.

Anotace

This paper deals with an aggregation of fuzzy logic and genetic algorithms GAs. This integration brings an improvement of GAs behaviour. The main attention is focused on the approaches based on the dynamical setting of GA parameters using fuzzy logic controller FLC. The fuzzy computation is also discussed based on the fuzzy encoding and knowledge of problem granularity.

Anotace

This paper deals with an aggregation of fuzzy logic and genetic algorithms GAs. This integration brings an improvement of GAs behaviour. The main attention is focused on the approaches based on the dynamical setting of GA parameters using fuzzy logic controller FLC. The fuzzy computation is also discussed based on the fuzzy encoding and knowledge of problem granularity.

Rok

2000

Strany

353–358

Sborník

Proceedings of the Colloquium Advanced Simulation of Systems

Konference

22nd International Colloquium ASIS 2000 Advanced Simulation of Systems, Sv. Hostýn, Bystřice pod Hostýnem, CZ

ISBN

80-85988-51-8

Místo

Bystřice pod Hostýnem

BibTeX

@inproceedings{BUT196499,
  author="Josef {Schwarz}",
  title="Fuzzy genetic algorithm - a brief survey",
  booktitle="Proceedings of the Colloquium Advanced Simulation of Systems",
  year="2000",
  pages="353--358",
  address="Bystřice pod Hostýnem",
  isbn="80-85988-51-8"
}