Boosted arithmetic optimization algorithm with elite opposition-based pattern search mechanism and its promise to design microstrip patch antenna for WLAN and WiMAX

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dc.authorid0000-0001-6482-9246en_US
dc.authorid0000-0002-7673-2553en_US
dc.authorid0000-0001-8359-0875en_US
dc.contributor.authorÖzmen, Hüseyin
dc.contributor.authorEkinci, Serdar
dc.contributor.authorİzci, Davut
dc.date.accessioned2023-10-05T12:04:11Z
dc.date.available2023-10-05T12:04:11Z
dc.date.issued2023en_US
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis paper investigates the performance of a novel artificial intelligence optimization technique in terms of designing a small size antenna that can be used for WLAN and WiMAX applications. In this regard, a boosted version of the arithmetic optimization algorithm is constructed as a novel artificial intelligence optimization technique with the aid of pattern search and elite opposition-based learning mechanisms. The proposed boosted arithmetic optimization algorithm is demonstrated for its superior explorative and exploitative behavior using classical fixed-dimensional, multimodal, and unimodal benchmark functions. The performance of the boosted arithmetic optimization algorithm is then presented for a real-world engineering optimization problem. For the latter challenge, a small size antenna that can be used for WLAN and WiMAX applications is designed. The obtained simulation results show that a compact small-sized patch antenna operating at WLAN and WiMAX frequencies can successfully be designed with the proposed boosted arithmetic optimization algorithm. Comparative evaluation against the state-of-the-art shows that efficiency is increased significantly since a bandwidth increase of up to (Formula presented.) is achieved even with a more than (Formula presented.) reduction in size.en_US
dc.identifier.citationÖzmen, H., Ekinci, S. ve İzci, D. (2023). Boosted arithmetic optimization algorithm with elite opposition-based pattern search mechanism and its promise to design microstrip patch antenna for WLAN and WiMAX. International Journal of Modelling and Simulation, Article in Pressen_US
dc.identifier.doi10.1080/02286203.2023.2196736
dc.identifier.endpage16en_US
dc.identifier.issn0228-6203
dc.identifier.scopus2-s2.0-85151426593
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/02286203.2023.2196736
dc.identifier.urihttps://hdl.handle.net/11468/12748
dc.identifier.volumeArticle in Pressen_US
dc.identifier.wosWOS:000962308200001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorÖzmen, Hüseyin
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofInternational Journal of Modelling and Simulation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArithmetic optimization algorithmen_US
dc.subjectElite opposition-based learningen_US
dc.subjectMicrostrip patch antennaen_US
dc.subjectPattern searchen_US
dc.subjectWLAN and WiMAX applicationsen_US
dc.titleBoosted arithmetic optimization algorithm with elite opposition-based pattern search mechanism and its promise to design microstrip patch antenna for WLAN and WiMAXen_US
dc.titleBoosted arithmetic optimization algorithm with elite opposition-based pattern search mechanism and its promise to design microstrip patch antenna for WLAN and WiMAX
dc.typeArticleen_US

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