摘要
用粒子群算法和遗传算法设计四阶状态变量滤波器,并对两种算法得出的滤波器电路进行Pspice仿真及实际电路测试,同时,对两种算法得出的数据进行统计比较.结果表明,在平均收敛时间、平均收敛效率和收敛精度上,粒子群算法均明显优于基本遗传算法.
This paper introduces the design method of the four-order state variable filter with the particle swarm optimization and genetic algorithm. The evolution results were emulated via Pspice, and the actual electric circuit was tested. The statistical data were compared, the results indicate that the important indexes of average convergence generation and average convergence time are much better in particle swarm optimization than those in basic genetic algorithms.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2007年第6期979-984,共6页
Journal of Jilin University:Science Edition
基金
国家高技术研究发展计划(863)项目基金(批准号:2002AA632080)
关键词
粒子群算法
遗传算法
四阶状态变量滤波器
仿真
particle swarm optimization
genetic algorithm
four-order state variable filter
emulation
