SYSTEM IDENTIFICATION USING DYNAMIC GA BASED ON NUMERIC ENCODING

来源期刊：中南大学学报(英文版)1997年第2期

论文作者：Yu Shouyi Peng Ying Zheng Xiaoming

文章页码：128 - 131

Key words：genetic algorithms; dynamic mutation operator; system identification

Abstract: A dynamic genetic algorithms based on numeric encoding is proposed and its application in system identification is discussed. Simulation shows that the introduction of both numeric encoding and dynamic mutation can effectively improve the accuracy and speed of searching for the optimum. It also show that the improved Genetic algorithm can identify time delay and parameters of the plant at the same time and converge to globle optimization.