Design of Higher Order Digital IIR Low Pass Filter Using Hybrid Differential Evolution

In this paper, hybrid technique with differential evolution (DE) method as a global search technique and binary successive approximation (BSA) based evolutionary search method as a local search technique is proposed. Evolutionary search is used for the exploration and pattern search method for exploitation. To initiate with good population, the opposition based learning strategy is applied. Migration strategy is applied to maintain the diversity in the population. The above proposed hybrid technique has been applied effectively to solve the multi-parameter optimization problem of higher order low-pass stable digital IIR filter design. The obtained results prove that the proposed technique is better than or comparable to other algorithms used by other researchers and can be applied to design HP, BP and BS IIR filters.