Implementation of Flower Pollination Algorithm to the Design Optimization of Planar Antennas

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dc.authoridhttps://orcid.org/0000-0002-7687-9061en_US
dc.authoridhttps://orcid.org/0000-0002-5229-4018en_US
dc.authorscopusid36728602600en_US
dc.authorscopusid36705310900en_US
dc.authorwosidG-2829-2015en_US
dc.authorwosidD-7354-2015en_US
dc.contributor.authorToktaş, Abdurrahim
dc.contributor.authorÜstün, Deniz
dc.contributor.authorCarbas, Serdar
dc.date.accessioned2024-08-01T15:06:10Z
dc.date.available2024-08-01T15:06:10Z
dc.date.issued2021en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractFlower pollination algorithm (FPA) is an outstanding metaheuristic optimization approach among the recently emerged nature-inspired algorithms. It is built on pollination nature of the flowers, classifying into two categories: biotic and abiotic pollinations. It is observed that the performance of FPA has been well demonstrated through diverse engineering design problems, whereas its efficacy in the design optimization of planar antennas, which are the most important concealed elements in the wireless communication systems, is remained curious in the engineering research topics. In this chapter, FPA is hence applied to the design of planar antennas in order to optimize their shapes and dimensions for the objective function based on resonant bandwidth. The design optimization is carried out through a cooperating platform constituted in this work, communicating MATLAB® with a full-wave simulator named Hyperlynx® 3D EM. Four different planar antennas are hereby designed and optimized for modern wireless communication across a step-by-step procedure. The finally optimized antenna geometries are provided with elaborate dimensions and their performance parameters such as operating frequency band, radiation gain pattern, and peak gain are examined. Therefore, it is shown off that FPA is also effective and successful in the design optimization of planar antennas.en_US
dc.identifier.citationToktas, A., Üstün, D., ve Carbas, S. (2021). Implementation of Flower Pollination Algorithm to the Design Optimization of Planar Antennas. Applications of Flower Pollination Algorithm and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-33-6104-1_4en_US
dc.identifier.doi10.1007/978-981-33-6104-1_4en_US
dc.identifier.endpage85en_US
dc.identifier.startpage61en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-33-6104-1_4
dc.identifier.urihttps://hdl.handle.net/20.500.13099/322
dc.institutionauthorÜstün, Deniz
dc.language.isoengen_US
dc.publisherSpringer Linken_US
dc.relation.ispartofApplications of Flower Pollination Algorithm and its Variantsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.titleImplementation of Flower Pollination Algorithm to the Design Optimization of Planar Antennasen_US
dc.typebookParten_US

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