Design of Higher Order LP and HP Digital IIR Filter Using the Concept of Teaching-Learning Based Optimization

– In this article, Teaching-learning opposition based optimization (TLOBO) algorithm based on the natural phenomenon of teaching and learning is applied to design an optimal higher order stable low pass (LP) and high pass (HP) IIR digital filter using different design criterion. The original TeachingLearning Based Optimization (TLBO) algorithm has been remodeled by merging the concept of opposition-based learning for selection of good candidates. In the first part of design process absolute magnitude response error is minimized. In second design phase, combination of four criterion is considered i.e. L1 -norm approximation of magnitude response, L2-norm approximation of magnitude response, ripples in pass band and stop band are minimized simultaneously by applying multiobjective optimization. The obtained design results of LP and HP, IIR filter are compared to other existing meta-heuristic algorithms. The simulation results reveal that the purposed TLOBO algorithm gives better performance in terms of convergence rate and quality of the filter. Key-Words:Digital infinite impulse response filters; Teaching-Learning-Based Optimization (TLBO); Magnitude response; Filter ripples, Multiobjective optimization.