Comparison of a Genetic Algorithm and Evolutionary Strategies in Optimization of Strip-Structure Modal Filters

• Published in: Journal of communications technology & electronics Vol. 68; no. 11; pp. 1285 - 1295
• Main Authors: Belousov, A. O., Gordeeva, V. O.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01-11-2023; Springer; Springer Nature B.V
• Subjects: Algorithms; Communications Engineering; Comparative analysis; Electric potential; Engineering; Evolutionary algorithms; Genetic algorithms; Genetic research; Mathematical analysis; Networks; Optimization; Theory and Methods of Signal Processing; Voltage; Waveforms
• ISSN: 1064-2269; 1555-6557
• DOI: 10.1134/S1064226923110037

The features arising from the optimization of strip modal filters (MFs) using a genetic algorithm (GA) and evolutionary strategies (ESs) are considered. Sequential optimization of microstrip MFs and MFs with broad-side coupling was performed according to the criterion of minimizing the maximum amplitude of the output voltage. The results of such optimization with different numbers of calculations are presented, including the values of the optimized parameters, the objective function, the time spent on the calculation, stopping criteria (when optimized by ESs) and the voltage waveforms at the output of the studied MFs. A detailed analysis of the results of the two algorithms is presented. The advantages and disadvantages, as well as differences in the operation of each algorithm, are determined using the example of optimization of two MFs.