Accelerated Variant Model-aided Optimization of Coupled Line Bandpass Filter

Here, a 5-row microstrip coupled line filter design with six different variable design parameters having a center resonance frequency of 2.45 GHz is considered as a multi-dimensional and single-objective optimization problem using a variant of the newly proposed Chameleon swarm algorithm. In this study, three different objective functions specially adapted from mathematical models were used for the current problem. Additionally, artificial neural network (ANN) modeling support was used for acceleration, thus eliminating the extra hardware cost that may be needed. The filter toolbox, which was recently released with the MATLAB 2021b version, was used throughout the optimization process. The study includes multiple innovations, including the updated algorithm, new toolbox and original objective functions.