Improved firefly algorithm based optimal design of special signal blocking IIR filters

This work proposes the design/implementation of special signal blocking IIR filters (SBIIRFs) to meet some of the general applications in modern electronics and measurement system engineering, employing a robust swarm and evolutionary optimization algorithm. Especially SBIIRFs are the basic supplement for the development of sophisticated digital measuring instruments. Lower order IIR filters are considered for faster output response hence, make suitable in online applications. Best coefficients of these filters are searched proposing a modified version of the recent firefly algorithm (FA), known as improved firefly algorithm (IFA) in order to provide stable frequency magnitude response. The proposed IFA enhances exploration ability of the classical FA due to an additional random difference term in its mathematical model. The efficacy of the proposed IFA is measured considering its performance over the optimal design of SBIIRFs in contrast to classical FA, particle swarm optimization, and real-coded genetic algorithm. (C) 2019 Elsevier Ltd. All rights reserved.