Predator Prey Optimization Method For The Design Of IIR Filter

The paper develops innovative methodology for the robust and stable design of digital infinite impulse response (IIR) filters using predator-prey optimization (PPO) method. Predator-prey optimization is undertaken as a global search technique and exploratory search is exploited as a local search technique. Being a stochastic optimization procedure, PPO technique, avoids local stagnation as preys play the role of diversification in the search of optimum solution due to the fear of predator(s). Exploratory search aims to fine tune the solution locally in promising search area. The proposed PPO method enhances the capability to explore and exploit the search space locally as well globally to obtain the optimal filter design parameters. A multivariable optimization is employed as the design criterion to obtain the optimal stable IIR filter that satisfies the different performance requirements like minimizing the magnitude approximation error and minimizing the ripple magnitude. The proposed method is effectively applied to design of low-pass, high-pass, band-pass, and band-stop digital IIR filters being multivariable optimization problems. The computational experiments show that the proposed PPO method is superior or at least comparable to other algorithms and can be efficiently applied for higher order filter design.