Title :
Breeder genetic algorithm based fuzzy simulation
Author :
Zhang, Qianli ; Li, Xing ; Tran, Quang-anh
Author_Institution :
CERNET Center, Tsinghua Univ., Beijing, China
Abstract :
Fuzzy simulation is often required in fuzzy programming. In this paper, we propose the application of breeder genetic algorithm (BGA) to compute possibility and find critical values. BGA is a kind of genetic algorithm, which is especially powerful and reliable in global searching. Experiments show that BGA based fuzzy simulation has a better performance.
Keywords :
fuzzy set theory; genetic algorithms; mathematical programming; breeder genetic algorithm; fuzzy programming; fuzzy simulation; global searching; Computational modeling; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Genetic programming; Mathematical model; Mathematical programming; Power engineering and energy; Power engineering computing; Reliability engineering;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341957
