摘要
本文提出粒子进化规划算法(PEP),并将其应用于IIR数字滤波器的优化设计.该算法通过学习种群整体信息以增强全局搜索能力;通过对单一个体的当前最优个体的学习,以增强算法局部搜索能力.实验结果表明,用这种方法设计的数字滤波器性能明显由于进化规划算法(EP),说明了算法的有效性和实用性.
In This paper, the Particles Evolution Plan algorithm, which is applied to the fIR Digital filters optimization design is realized. This algorithm can study overall information of population and the current most superior individual of the sole individual so that strengthen the overall situation search ability and the partial search ability. The experimental result indicates that the performance of IIR digital filters with this method is obviously better than a result of Evolution Plan algorithm, so the algorithm is effective and the usable.
出处
《微计算机信息》
2009年第6期252-254,共3页
Control & Automation
