Tareq Hamadneh1, Khalid Kaabneh2, Ibraheem AbuFalahah3, Gulnara Bektemyssova4,*, Galymzhan Shaikemelev4, Dauren Umutkulov4, Sayan Omarov5, Zeinab Monrazeri6, Frank Werner7, Mohammad Dehghani6,*
CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2721-2741, 2024, DOI:10.32604/cmc.2024.054317
Abstract This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization (MFO), inspired by the unique behaviors observed in magnificent frigatebirds in their natural habitats. The foundation of MFO is based on the kleptoparasitic behavior of these birds, where they steal prey from other seabirds. In this process, a magnificent frigatebird targets a food-carrying seabird, aggressively pecking at it until the seabird drops its prey. The frigatebird then swiftly dives to capture the abandoned prey before it falls into the water. The theoretical framework of MFO is thoroughly detailed and mathematically represented, mimicking the frigatebird’s… More >
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