Özmen, HüseyinEkinci, Serdarİzci, Davut2023-10-052023-10-052023Özmen, 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 Press0228-6203https://www.tandfonline.com/doi/full/10.1080/02286203.2023.2196736https://hdl.handle.net/11468/12748This 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.eninfo:eu-repo/semantics/closedAccessArithmetic optimization algorithmElite opposition-based learningMicrostrip patch antennaPattern searchWLAN and WiMAX applicationsArticleArticle in Press116WOS:0009623082000012-s2.0-8515142659310.1080/02286203.2023.2196736Q1N/A