RAS PhysicsРадиотехника и электроника Journal of Communications Technology and Electronics

  • ISSN (Print) 0033-8494
  • ISSN (Online) 3034-5901

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

PII
10.31857/S0033849423110037-1
DOI
10.31857/S0033849423110037
Publication type
Status
Published
Authors
Volume/ Edition
Volume 68 / Issue number 11
Pages
1079-1089
Abstract
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.
Keywords
Date of publication
16.09.2025
Year of publication
2025
Number of purchasers
0
Views
12

References

  1. 1. Фоминич Э.Н., Владимиров Д.Р. // Военный инженер. 2016. № 2. С. 10.
  2. 2. Электромагнитный терроризм на рубеже тысячелетий / Под ред. Т.Р. Газизова. Томск: Том. гос. ун-т, 2002.
  3. 3. Mora N., Vega F., Lugrin G. et al. // System and Assessment Notes. 2014. № 41. P. 1.
  4. 4. Gazizov A.T., Zabolotsky A.M., Gazizov T.R. // IEEE Trans. 2016. V. EMC-58. № 4. P. 1136. https://doi.org/10.1109/TEMC.2016.2548783
  5. 5. Аоки М. Введение в методы оптимизации. М.: Наука, 1977.
  6. 6. Gazizov R.R., Kuharenko M.N., Gazizov T.R. // Proc. Conf. Dynamics of Systems, Mechanisms and Machines. Omsk. 14–16 Nov. 2017. N.Y.: IEEE, 2017. P. 1. https://doi.org/10.1109/Dynamics.2017.8239452
  7. 7. Gazizov R.R., Gazizov R.R., Zabolotsky A.M. // Proc. Int. Sib. Conf. on Control and Communication. Moscow. 14−16 March 2018. N.Y.: IEEE, 2018. P. 1. https://doi.org/10.1109/MWENT.2018.8337215
  8. 8. Belousov A.O., Gazizov T.R. // Complexity. 2018. V. 2018. P. 1. https://doi.org/10.1155/2018/5676504
  9. 9. Belousov A.O., Chernikova E.B., Samoylichenko M.A. et al. // Symmetry. 2020. V. 12. № 1117. P. 1. https://doi.org/10.3390/sym12071117
  10. 10. Freisleben B., Merz P. // Proc. of IEEE Int. Conf. on Evolutionary Computation. 20–22 May. N.Y.: IEEE, 1996. P. 616. https://doi.org/10.1109/ICEC.1996.542671
  11. 11. Mittra R., Chakravarty S., Yeo J. // IEEE Antennas and Propagation Society Int. Symp. 16–21 June. 2002. N.Y.: IEEE, 2002. P. 306. https://doi.org/10.1109/APS.2002.1016309
  12. 12. Yegin K., Martin A.Q. // IEEE Trans. 2003. V. AP-51. № 2. P. 220. https://doi.org/10.1109/TAP.2003.809056
  13. 13. Бураков М.В. Генетический алгоритм: теория и практика: уч. пособие. СПб.: ГУАП, 2008.
  14. 14. Holland J.H. Adaptation in Natural and Artificial Systems. L.: MIT Press, 1975.
  15. 15. Семеникин Е.С., Жукова М.Н., Жуков В.Г. и др. Эволюционные методы моделирования и оптимизации сложных систем. Конспект лекций. Красноярск: Сиб. федер. ун-т, 2007.
  16. 16. Hansen N., Ostermeier A. // Evolutionary Computation. 2001. V. 9. № 2. P. 159.
  17. 17. Kuksenko S.P. // IOP: Conf. Ser.: Materials Science and Engineering, 2019. V. 560. Article No. 01210.
  18. 18. Hansen N. Python: module barecmaes2. http://www.cmap. polytechnique.fr/~nikolaus.hansen/ barecmaes2.html.
  19. 19. Белоусов А.О., Гордеева В.О. // Докл. XVII междунар. науч.-практич. конф. “Электронные средства и системы управления”. Томск. 19–21 ноября 2021. С. 13.
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