Competitive metaheuristic algorithms for building a performance database of a dual-band combline bandpass filter microstrip connection

Dual-band bandpass filters have attracted intense attention in recent developments to meet many demands, especially wireless applications and multi-band radio waves. Here, a Comb line filter in the form of a dual bandpass 3-row microstrip with a center resonance frequency of 2.5 GHz and 3.0 GHz and a total of 13 design parameters, 6 of which are variable, has become a single-objective and multi-dimensional optimization design problem with the help of current competitive metaheuristic algorithms. The selected algorithms have been derived in recent years and have not yet been used for any sampling problems in this field. The objective functions to be used in the study were selected from the most successful pairs of objective functions specially fitted from mathematical models in a study. Throughout this design optimization process, the filter toolbox in the R2023B version, available as of the MATLAB R2022B version, was used. In addition to the original objective function, the study includes multiple innovations such as the new filter toolbox and current competitive metaheuristic algorithms. During this entire optimization process, the most optimal results are verified by electromagnetic (EM) simulation. Considering all these results in the study, the optimization processes performed with the proposed competitive algorithms are an easy, fast and efficient solution for complex and multidimensional filter design optimization applications Additionally, it can be quickly applied to other microwave optimization problems by changing the objective functions.