Fractional order Butterworth filter optimization using Interior Search Algorithm

摘要

A meta-heuristic algorithm – Interior search Algorithm (ISA) based optimization of fractional second order Butterworth filter is presented in this paper. The performance of this method is compared to a previously used Simulated Annealing based approach. ISA is used to find the global best for the transfer function by generating coefficients for optimal performance using the fitness function. Finally, an integer order filter is realized using the Tow Thomas filter to simulate the performance of the optimized fractional filter.