Antenna array synthesis is one of the most popular topics in the electromagnetic field. Since achieving a desired antenna radiation\npattern is a mathematical problem, in the literature, there are various optimization algorithms applied to the synthesis process of\ndifferent kinds of antenna arrays. In this study, Multiverse Optimizer (MVO) and modified MVO (MMVO) are used to perform\ncircular antenna array (CAA) synthesis. During the exploration, exploitation, and local search phases of calculation, MVO uses\nthree concepts in cosmology; white hole, black hole, and wormhole. Convergence capability of this nature-inspired algorithm is\nemployed for finding optimum amplitude and position values of CAA elements in order to achieve an array pattern with low\nmaximum sidelobe level (MSL) and minimum circumference. The performance of MVO and MMVO was tested on five design\nexamples of pattern synthesis, and the obtained results were compared with ten different algorithms. The simulation results show\nthat MVO and MMVO provide low MSLs with small circumferences.
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