摘要
研究了基于基本杂交操作的遗传算法的搜索效率及全局收敛性。提出了一种改进的遗传算法,该算法成功地应用于系统辨识。仿真结果表明了该方法的有效性及实用性。
The searching efficiency and global convergence of genetic algorithms(GAs), which are based on the canonical crossover operator, are studied in this paper. A modified GAs is presented, and it is successfully applied to system identification. Simulations show the effectiveness and practicality of the modified GAs.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
1997年第4期72-75,共4页
Journal of Harbin Institute of Technology
关键词
遗传算法
搜索效率
全局收敛性
系统辨识
Genetic algorithms
optimization
searching efficiency
global convergence
system identification
