Aquila optimizer: review, results and applications

This survey presents a new optimization method named aquila optimizer (AO), motivated by the hunting behavior of aquila. This optimizer is divided into four steps: choosing the search area from high rise and vertical downhill; reconnoitering from a close search area by outlining aviation with low sl...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abualigah, Laith (author)
مؤلفون آخرون: Sbenaty, Batool (author), Ikotun, Abiodun M. (author), Abu Zitar, Raed (author), Alsoud, Anas Ratib (author), Khodadadi, Nima (author), Ezugwu, Absalom E. (author), Hanandeh, Essam Said (author), Jia, Heming (author)
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:https://depot.sorbonne.ae/handle/20.500.12458/1608
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الوصف
الملخص:This survey presents a new optimization method named aquila optimizer (AO), motivated by the hunting behavior of aquila. This optimizer is divided into four steps: choosing the search area from high rise and vertical downhill; reconnoitering from a close search area by outlining aviation with low slip pounce; reconnoitering from a close search area by short aviation with slow going down pounce; attack by walk and seize victim. In this survey, we take some research papers and analyze how they are utilized to solve various optimization problems.