Pak, S.Güneser, M.T.Seker, C.2024-09-292024-09-292024979-835038896-1https://doi.org/10.1109/SIU61531.2024.10601083https://hdl.handle.net/20.500.14619/9253Berdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus University32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235Developments in artificial intelligence directly affect various fields of science. This is especially important in the solution of higher-order models and systems that do not have an exact equation. Due to the difficulties in modeling electromagnetic systems, artificial intelligence-based studies have a special importance in this field. In this study, the multidimensional optimization of a compact microstrip monopole antenna that can be used in next generation communication applications is studied with a new artificial intelligence algorithm, the red fox algorithm. Thus, a compact microstrip antenna with broadband (8.75 GHz - 11.25 GHz) radiation at 10 GHz resonant frequency is designed for X-Band applications. © 2024 IEEE.trinfo:eu-repo/semantics/closedAccess5G6GoptimizationparetoRFOConference Object10.1109/SIU61531.2024.106010832-s2.0-85200861845N/A