FLO

代码说明：

  基于粒子群优化算法的无源模拟滤波器优化设计方法容易陷入局部最优,收敛速度慢迭代次数多、运算量大且稳定性不够好。提出果蝇优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值,实例仿真表明,采用该方法设计的滤波器在相同的带宽准确度及阻带衰减的情况下,具有更快的运算速度及收敛性能。(Passive analog filter optimization algorithm based on particle swarm optimization design method is easy to fall into local optimum, the slow convergence iterations, large amount of computation and stability is not good enough. Efficient parallel search proposed Drosophila optimization algorithm for the whole parameter space of the filter until the optimal parameter values, the simulation results show that the designed filter in the case of the same bandwidth accuracy and stop-band attenuation, faster computing speed and convergence performance.)

文件列表：

FLO.m,1443,2012-11-04