利用自适应遗传算法优化滤波电路参数

Parameter Optimization of Filter Circuit Based on Adaptive Genetic Algorithm

利用自适应遗传算法,在典型滤波电路结构下跟踪进化进程的遗传参数并调整相应策略.从一种基本滤波电路结构出发,根据设计目标自动优化元件取值,最终获得符合预期功能的实用电路.研究结果表明,只要结构选择得当,通过引入常规设计方法的经验和规则,利用遗传参数自适应来提高进化效率和优化程度,经过一定世代的进化均可得出满足设计要求的进化结果.

Adaptive genetic algorithm was used to track genetic parameters of evolutional process and adjust corresponding strategy based on typical filter circuit structure.Starting from a basic filter circuit structure,component values was optimized automatically on the basis of design goal,and became practical circuit according with intended function.The results showed that so long as selecting suitable structure,by introducing experiences and rules of conventional design method and using adaptive genetic algorithm to improve evolutional efficiency and optimal extent,the evolutional solution according design goal would be obtained by passing some evolutional generations.