Coevolutionary design of Takagi-Sugeno fuzzy systems

Author

Delgado, Myriam Regattien ; Von Zuben, Fernando ; Gomide, Fernando

Author_Institution

Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas, Brazil

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1384

Lastpage

1389

Abstract

This paper suggests a coevolutionary approach to design Takagi-Sugeno fuzzy models. The coevolutionary process induces cooperation among individuals of genetically different populations, the species. Populations from four species represent partial solutions to the fuzzy modeling problem. Cooperation is also achieved via fitness sharing, once the fitness of an individual depends on the fitness of individuals of different species. The performance of the proposed approach is evaluated using a function approximation problem with noisy data, and a classification problem

Keywords

evolutionary computation; function approximation; fuzzy systems; Takagi-Sugeno fuzzy systems; classification problem; coevolutionary design; function approximation; fuzzy modelling problem; genetically different populations; noisy data; partial solutions; Computer industry; Data mining; Design automation; Design engineering; Function approximation; Fuzzy systems; Genetic algorithms; Humans; Power system modeling; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1004445

Filename

1004445