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Comparative analysis of metaheuristic algorithms (genetic algorithm, artificial bee colony, differential evolution) in the design of substrate integrated waveguide dual bandpass filter

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 15 No. 5 (2025)

DOI
10.11591/ijece.v15i5.pp4682-4691
ISSN
2722-2578, 2088-8708
Published
2025-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

A well-optimized substrate integrated waveguide (SIW) filter can significantly enhance the performance of modern technologies, including wireless communication systems, radar, and sensors. The frequencies of 5 and 6 GHz play a crucial role in these applications. Metaheuristic algorithms such as genetic algorithm (GA), artificial bee colony (ABC), and differential evolution (DE) are effective for designing SIW filters specifically tailored to these needs. This paper evaluates the performance of evolutionary optimization techniques in the design of substrate integrated waveguide filters. The optimization focuses on achieving optimal impedance matching within the frequency range of 4 to 8 GHz. The attenuation constant serves as the cost function, guiding the optimization process to ensure reliable and accurate results from each algorithm. The filter parameters derived from the most efficient algorithm are verified using ANSYS HFSS, resulting in two bands with S11=-45 dB and S21=-0.2 dB in the first band, and S11=-28 dB and S21=-0.5 dB in the second band. Additionally, two transmission zeros with rejections of -23 and -12 dB are achieved at 6.4 and 7.08 GHz, respectively. These results highlight the practicality of SIW technologies in designing microwave circuits, particularly for internet of things (IoT) applications.

Collaboration network of the authors

31 authors · 72 co-authorship links · 13 across different organisations

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  • University of Hassan II Casablanca
  • Abdelmalek Essaâdi University
  • Université Hassan 1er
  • Université Moulay Ismail de Meknes
  • Mohammed V University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdelhakim BalloukUniversity of Hassan II Casablanca5
Abdelmajid BadriUniversity of Hassan II Casablanca4
Aïcha SahelUniversity of Hassan II Casablanca3
Ikram DaanouneUniversity of Hassan II Casablanca3
Sara El MattarUniversity of Hassan II Casablanca3
Younes El HachimiUniversité Hassan 1er2
Mohssine El OuahabiAbdelmalek Essaâdi University2
Alia ZakritiAbdelmalek Essaâdi University2
Abdelhadi RaihaniUniversity of Hassan II Casablanca2
El Mostafa MakroumUniversité Hassan 1er1
Abdelmajid FarchiUniversité Hassan 1er1
M. MakroumUniversité Hassan 1er1
A. FachiUniversité Hassan 1er1
Abir ZaidiUniversity of Hassan II Casablanca1
Btissam BoustaniUniversity of Hassan II Casablanca1
Mohsine KhalladiAbdelmalek Essaâdi University1
Aicha MchbalAbdelmalek Essaâdi University1
Bachir BenhalaUniversité Moulay Ismail de Meknes1
Imane AssiniUniversity of Hassan II Casablanca1
Jihane OuchrifUniversity of Hassan II Casablanca1
Mohamed EssaaidiMohammed V University1
Hanae ElftouhAbdelmalek Essaâdi University1
Brahim OuachaUniversity of Hassan II Casablanca1
Mohammed NahidUniversity of Hassan II Casablanca1
Said AbennaUniversity of Hassan II Casablanca1
Issa SabiriUniversity of Hassan II Casablanca1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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