Optimization of Fuzzy Models Using Evolutionary Algorithms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F08%3AA1000PLE" target="_blank" >RIV/61988987:17610/08:A1000PLE - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Optimization of Fuzzy Models Using Evolutionary Algorithms

Original language description

This paper considers the Takagi-Sugeno fuzzy models constructed from data and shows how to optimize them using genetic algorithms. The special attention is paid to the possibility of using another evolutionary algorithms (controlled random search, evolutionary search, differential evolution and algorithms with competing heuristics) for optimizing fuzzy models.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

<a href="/en/project/GA201%2F06%2F0612" target="_blank" >GA201/06/0612: Computer simulation of anticipatory systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Aplimat - Journal of Applied Mathematics

ISSN

1337-6365

e-ISSN

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Volume of the periodical

1

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

11

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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