IIR Filter Design Using Multiobjective Teaching-Learning-Based Optimization

In this paper, an Euclidean-distance-based multiobjective teaching-learning-based optimization (MOTLBO) is applied to the design of cascade-form IIR digital filters. Minimization of the least-pth minimax errors in passband and stopband magnitude responses and passband group delay response are performed. The lowpass and highpass digital filter design results of the Euclidean-distance-based MOTLBO approach compares favorably with the recent results obtained by other optimization methods.