摘要
介绍了遗传算法的基本原理,给出了遗传算法在零极点辩识中系统时延、零极点辩识的实现步骤,在种群进化过程中采用基因流代替突变算子,仿真结果说明了该方法的有效性和实用性,并说明该方法有效地避免算法早熟收敛。
zero-pole points identification based on genetc algorithm by substituting gene flow for mutation operator and realization steps are discussed and the stimulation showes this method available and practical and avoids premature convegence.
出处
《铁路计算机应用》
2001年第11期1-2,共2页
Railway Computer Application
关键词
遗传算法
零极点辩识
仿真
早熟收敛
控制过程
genetic algorithm
zero-pole points identification
stimulation
premature convegence