Gooseneck barnacle optimization algorithm: A novel nature inspired optimization theory and application

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Gooseneck barnacle optimization algorithm: A novel nature inspired optimization theory and application

This paper introduces the Gooseneck Barnacle Optimisation Algorithm (GBO) as a novel evolutionary method inspired by the natural mating behaviour of gooseneck barnacles, which involves sperm casting and self-fertilization. GBO is mathematically modelled, considering the hermaphroditic nature of thes...

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Bibliographic Details
Main Authors:	Ahmed, Marzia, Mohd Herwan, Sulaiman, Ahmad Johari, Mohamad, Rahman, Mostafijur
Format:	Article
Language:	English English
Published:	Elsevier 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39198/ http://umpir.ump.edu.my/id/eprint/39198/1/Gooseneck%20barnacle%20optimization%20algorithm-%20A%20novel%20nature%20.pdf http://umpir.ump.edu.my/id/eprint/39198/2/Gooseneck%20barnacle%20optimization%20algorithm-%20A%20novel%20nature_FULL.pdf

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