Detail publikace
Fuzzy genetic algorithm - a brief survey
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.
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.
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.
@INPROCEEDINGS{FITPUB6436,
author = "Josef Schwarz",
title = "Fuzzy genetic algorithm - a brief survey",
pages = "353--358",
booktitle = "Proceedings of the Colloquium Advanced Simulation of Systems",
year = 2000,
location = "Byst\v{r}ice pod Host\'{y}nem, CZ",
ISBN = "80-85988-51-8",
language = "english",
url = "https://www.fit.vut.cz/research/publication/6436"
}