Adaptive global best steered Cuckoo search algorithm for FIR filter design

In this paper, we propose design of even order low pass FIR filter and odd order bandpass FIR filter using coefficients optimized by an adaptive Global Best steered Cuckoo Search Algorithm (gbest CSA). For optimization, we use a mean square error based cost function as the fitness function. We evaluated the efficacy of the proposed technique by comparing the filter responses with responses of the filters designed using standard Cuckoo Search Algorithm and traditional technique of filter design with Parks McClellan algorithm. Efficacy of the proposed algorithm compared to the conventional CSA is proved using seven standard benchmark functions.