Design of optimal digital FIR filters using TLBO and Jaya algorithms

Optimization algorithms based on evolutionary techniques have been considered for the optimal design perspective of the linear phase digital FIR filter for better control of the parameters of it. The coefficients of the actual filter are optimized by these algorithms. In this paper, Jaya algorithm is applied for the design of linear phase digital FIR filter and its results are compared with those obtained by using teaching learning-based optimization (TLBO) algorithm. The simulation results and comparison show that fast convergence is obtained in both the cases of TLBO and Jaya algorithms; however, the approximation error is smaller in the case of Jaya algorithm. When frequency responses obtained using JAYA & TLBO algorithms are analogized, better performance is shown by Jaya algorithm.