Abstract: The digital filters play an important role in the field of science and technology. Due to phase linearity and frequency stability, digital finite impulse response (FIR) filters are used in number of applications. The various methods for the design of digital filters like particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE) etc. and the modified version of these. This paper presents the hybrid predator prey optimization (HPPO) technique for the design of digital low pass FIR filter. HPPO has the capability of both exploration and exploitation of search space locally as well globally. This algorithm is used with the aim to achieve desired filter specifications for designing an optimal filter. This paper also compares the simulation results with hybrid differential evolution (HDE) algorithm. The simulation results show that the proposed design method is better than other optimization techniques in terms of objective function and magnitude errors for the design of low pass digital FIR filters.
Keywords: Digital Finite Impulse Response filters (FIR), Prey Predator Optimization, Exploratory move, Hybrid Predator Prey Optimization (HPPO), Hybrid Differential Evolution (HDE).