Design of Digital FIR High Pass Filter using Hybrid Predator Prey Optimization

This paper presents a novel approach for designing a digital FIR high pass filter using hybrid predator prey optimization (HPPO) algorithm. HPPO is a combination of two algorithms that are given by predator prey optimation (PPO) and exploratory move (EM). Predator prey optimization is a global search algorithm whereas exploratory move is a local search algorithm. Prey particles try to occupy safe place to save themself from predator. Exploratory search adjust the solution in local search space. The optimal filter design parameters have been obtained using HPPO algorithm which results in minimizing the magnitude error and ripple magnitude. The achieved results have been compared with the results obtained by hybrid differential evolution algorithm and it has been seen that filter designed using HPPO outperforms HDE in the solution quality and convergence speed.