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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/39198/ https://doi.org/10.1016/j.matcom.2023.10.006 https://doi.org/10.1016/j.matcom.2023.10.006 |
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http://umpir.ump.edu.my/id/eprint/39198/1/Gooseneck%20barnacle%20optimization%20algorithm-%20A%20novel%20nature%20.pdfhttp://umpir.ump.edu.my/id/eprint/39198/2/Gooseneck%20barnacle%20optimization%20algorithm-%20A%20novel%20nature_FULL.pdf
http://umpir.ump.edu.my/id/eprint/39198/
https://doi.org/10.1016/j.matcom.2023.10.006
https://doi.org/10.1016/j.matcom.2023.10.006