Title :
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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004445