A Hybrid Predator Prey Optimization Method for the Design of Low Pass Digital FIR Filter

Abstract This paper presents an optimal and efficient design of low pass digital finite impulse response (FIR) filter using hybrid predator prey optimization (HPPO) technique. HPPO is an evolutionary algorithm that exhibits the features of basic PPO, hooke jeeves exploratory move and opposition based strategy that helps to design an optimal filter. Predator Prey Optimization is a global search technique and exploratory search is exploited as a local search technique. The PPO and exploratory move have the capability to exploit and explore the search space globally as well as locally. So the proposed hybrid PPO algorithm calculates the optimal filter coefficients such as minimizing the magnitude errors and ripple magnitude. The simulation results show that the proposed algorithm yields more accurate and efficient solution and can be applied for higher order filter design.