Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as one of the most effective optimization algorithm where it was utilized in different problems and domains, successfully. This rev...
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| Other Authors: | , , , , |
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2023
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1343 |
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| _version_ | 1857415063993843712 |
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| author | Daoud, Mohammad Sh. |
| author2 | Shehab, Mohammad Al-Mimi, Hani M. Abualigah, Laith Abu Zitar, Raed Shambour, Mohd Khaled Yousef |
| author2_role | author author author author author |
| author_facet | Daoud, Mohammad Sh. Shehab, Mohammad Al-Mimi, Hani M. Abualigah, Laith Abu Zitar, Raed Shambour, Mohd Khaled Yousef |
| author_role | author |
| dc.creator.none.fl_str_mv | Daoud, Mohammad Sh. Shehab, Mohammad Al-Mimi, Hani M. Abualigah, Laith Abu Zitar, Raed Shambour, Mohd Khaled Yousef |
| dc.date.none.fl_str_mv | 2023-01-02T04:40:45Z 2023-01-02T04:40:45Z 2023 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1007/s11831-022-09872-y 1134-3060 1886-1784 https://depot.sorbonne.ae/handle/20.500.12458/1343 10.1007/s11831-022-09872-y |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Archives of Computational Methods in Engineering |
| dc.subject.none.fl_str_mv | Gradient-Based Optimizer Optimization algorithms Engineering problems GBO's variants GBO's applications |
| dc.title.none.fl_str_mv | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as one of the most effective optimization algorithm where it was utilized in different problems and domains, successfully. This review introduces set of related works of GBO where distributed into; GBO variants, GBO applications, and evaluate the efficiency of GBO compared with other metaheuristic algorithms. Finally, the conclusions concentrate on the existing work on GBO, showing its disadvantages, and propose future works. The review paper will be helpful for the researchers and practitioners of GBO belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining and clustering. As well, it is wealthy in research on health, environment and public safety. Also, it will aid those who are interested by providing them with potential future research. |
| id | sorbonner_5c5c31a035d696c4aa666c200d0efc8a |
| identifier_str_mv | 10.1007/s11831-022-09872-y 1134-3060 1886-1784 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1343 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and ApplicationsDaoud, Mohammad Sh.Shehab, MohammadAl-Mimi, Hani M.Abualigah, LaithAbu Zitar, RaedShambour, Mohd Khaled YousefGradient-Based OptimizerOptimization algorithmsEngineering problemsGBO's variantsGBO's applicationsThis paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as one of the most effective optimization algorithm where it was utilized in different problems and domains, successfully. This review introduces set of related works of GBO where distributed into; GBO variants, GBO applications, and evaluate the efficiency of GBO compared with other metaheuristic algorithms. Finally, the conclusions concentrate on the existing work on GBO, showing its disadvantages, and propose future works. The review paper will be helpful for the researchers and practitioners of GBO belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining and clustering. As well, it is wealthy in research on health, environment and public safety. Also, it will aid those who are interested by providing them with potential future research.2023-01-02T04:40:45Z2023-01-02T04:40:45Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1007/s11831-022-09872-y1134-30601886-1784https://depot.sorbonne.ae/handle/20.500.12458/134310.1007/s11831-022-09872-yenArchives of Computational Methods in Engineeringoai:depot.sorbonne.ae:20.500.12458/13432024-03-11T08:24:35Z |
| spellingShingle | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications Daoud, Mohammad Sh. Gradient-Based Optimizer Optimization algorithms Engineering problems GBO's variants GBO's applications |
| title | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| title_full | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| title_fullStr | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| title_full_unstemmed | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| title_short | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| title_sort | Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications |
| topic | Gradient-Based Optimizer Optimization algorithms Engineering problems GBO's variants GBO's applications |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1343 |