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

Dual-band bandpass filters have attracted intense attention in recent developments to meet many demands, especially wireless applications and multi-band radio wave. Here, a Combline filter in the form of a dual bandpass 3-row microstrip with a center resonance frequency of 2.5 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. Algorithms have been derived in recent years, have proven their success against existing algorithms, and have not been used in the filter design problem. In addition, in a different study conducted in recent years, among five different objective function pairs that were fabricated from mathematical models that have proven successful, the three most successful objective function pairs were selected based on the relevant study results and these objective function pairs were adapted for the filter and included in the 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 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 multi-dimensional filter design optimization applications. Additionally, it can be quickly applied to other microwave optimization problems by changing the objective functions.