Title :
A fuzzy modeling of very large scale system using genetic algorithm and a multiple-representing method
Author :
Yoshikawa, Tomohiro ; Furuhashi, Takeshi ; Uchikawa, Yoshiki
Author_Institution :
Dept. of Inf. Electron., Nagoya Univ., Japan
Abstract :
The paper presents a new approach to fuzzy modeling of very large scale systems using a genetic algorithm. A new method for obtaining multiple phenotypes from a chromosome, i.e. a multiple-representing method, for expanding exploratory space is also proposed. The new method maintains the diversity of the phenotypes and is effective in exploring the vast solution space. A simulation of fuzzy modeling to identify a multi-input nonlinear system is done to show the effectiveness of the proposed method
Keywords :
fuzzy logic; fuzzy set theory; genetic algorithms; knowledge based systems; large-scale systems; modelling; exploratory space; fuzzy modeling; genetic algorithm; multi-input nonlinear system; multiple phenotypes; multiple-representing method; solution space; very large scale system; Biological cells; Computational modeling; Diversity methods; Fuzzy systems; Genetic algorithms; Large-scale systems; Nonlinear equations; Nonlinear systems; Packaging; Space exploration;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343570
