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

  Nisha Rani,  Balraj Singh

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.

Keywords- Digital Finite Impulse Response filters (FIR), Prey Predator Optimization, Exploratory move, HPSO

Unique Identification Number - IJEDR1603082
Page Number(s) - 498-509
Pubished in - Volume 4 | Issue 3 | August 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Nisha Rani,  Balraj Singh,   "A Hybrid Predator Prey Optimization Method for the Design of Low Pass Digital FIR Filter", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.498-509, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603082.pdf