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

Мұқаба

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

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.

Авторлар туралы

A. Belousov

Tomsk State University of Control Systems and Radioelectronics

Email: ant1lafleur@gmail.com
634050, Tomsk, Russia

V. Gordeeva

Tomsk State University of Control Systems and Radioelectronics

Хат алмасуға жауапты Автор.
Email: ant1lafleur@gmail.com
634050, Tomsk, Russia

Әдебиет тізімі

  1. Фоминич Э.Н., Владимиров Д.Р. // Военный инженер. 2016. № 2. С. 10.
  2. Электромагнитный терроризм на рубеже тысячелетий / Под ред. Т.Р. Газизова. Томск: Том. гос. ун-т, 2002.
  3. Mora N., Vega F., Lugrin G. et al. // System and Assessment Notes. 2014. № 41. P. 1.
  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. Аоки М. Введение в методы оптимизации. М.: Наука, 1977.
  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. 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. Belousov A.O., Gazizov T.R. // Complexity. 2018. V. 2018. P. 1. https://doi.org/10.1155/2018/5676504
  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. 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. 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. Yegin K., Martin A.Q. // IEEE Trans. 2003. V. AP-51. № 2. P. 220. https://doi.org/10.1109/TAP.2003.809056
  13. Бураков М.В. Генетический алгоритм: теория и практика: уч. пособие. СПб.: ГУАП, 2008.
  14. Holland J.H. Adaptation in Natural and Artificial Systems. L.: MIT Press, 1975.
  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. Hansen N., Ostermeier A. // Evolutionary Computation. 2001. V. 9. № 2. P. 159.
  17. Kuksenko S.P. // IOP: Conf. Ser.: Materials Science and Engineering, 2019. V. 560. Article No. 01210.
  18. Hansen N. Python: module barecmaes2. http://www.cmap. polytechnique.fr/~nikolaus.hansen/ barecmaes2.html.
  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.

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML
Жүктеу
2.

Жүктеу (19KB)
Метадеректер
3.

Жүктеу (29KB)
Метадеректер
4.

Жүктеу (85KB)
Метадеректер
5.

Жүктеу (173KB)
Метадеректер

© А.О. Белоусов, В.О. Гордеева, 2023