Title :
Fuzzy simulation based on genetic algorithm and its application
Author :
Yanxi, Yang ; Ding, Liu
Author_Institution :
Xi´´an Univ. of Technol., China
Abstract :
This paper firstly analyses the disadvantages of several optimization tactics used in engineering system design, then mainly introduces a novel optimization algorithm, i.e., fuzzy simulation based on genetic algorithm, aiming at the shortcoming of conventional fuzzy simulation such as hypo-optimal solutions. The algorithm presented in this paper can obtain satisfying results by means of GA´s advantage. And through the simulation results this algorithm turns out high efficiency.
Keywords :
CAD; design engineering; digital simulation; fuzzy set theory; genetic algorithms; GA; design engineering; engineering system design; fuzzy simulation; genetic algorithm; hypo-optimal solutions; suboptimal solutions; Analytical models; Computational modeling; Computer simulation; Design engineering; Design optimization; Fuzzy sets; Fuzzy systems; Genetic algorithms; Optimization methods; Systems engineering and theory;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022209
