Novel Fuzzy-Modeling Method Based on Improved Genetic Algorithm
Shanshui Yang · Nanjing Hangkong Hangtian Daxue xuebao · 2004
A novel modeling method for improving genetic algorithm in complex systems is presented. Firstly, an extended T-S fuzzy model is obtained based on a standard T-S fuzzy model. Secondly, the parameters and rules of fuzzy model are optimized by the improved genetic algorithm. Finally, the digital simulation is performed to demonstrate the validity of the approach.