Coevolutionary design of Takagi-Sugeno fuzzy systems

被引:0
作者
Delgado, MR [1 ]
Von Zuben, F [1 ]
Gomide, F [1 ]
机构
[1] Univ Estadual Campinas, Dept Comp Engn & Ind Automat, BR-13083970 Campinas, SP, Brazil
来源
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2002年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1384 / 1389
页数:6
相关论文
共 21 条
  • [1] [Anonymous], 2001, ADV FUZZY SYSTEMS AP
  • [2] Cordón O, 2001, JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, P1241, DOI 10.1109/NAFIPS.2001.943725
  • [3] Hierarchical genetic fuzzy systems
    Delgado, MR
    Von Zuben, F
    Gomide, F
    [J]. INFORMATION SCIENCES, 2001, 136 (1-4) : 29 - 52
  • [4] DELGADO MR, 2000, P 8 INF PROC MAN UNC, P650
  • [5] EHRLICH PR, 1964, EVOLUTION, V18, P586, DOI 10.1111/j.1558-5646.1964.tb01674.x
  • [6] A cascaded genetic algorithm for improving fuzzy-system design
    Heider, H
    Drabe, T
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1997, 17 (04) : 351 - 368
  • [7] ISHIBUCHI H, 1999, P FUZZ IEEE 99 SEOUL, P779
  • [8] ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM
    JANG, JSR
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03): : 665 - 685
  • [9] Klement E. P., 2000, Triangular Norms
  • [10] MICHALEWICZ Z, 1996, GENETIC ALGORITHMS P