Animal migration optimization algorithm: novel optimizer, analysis, and applications
A new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processi...
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| Other Authors: | , , , , , , |
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2024
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1614 |
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| _version_ | 1857415063568121857 |
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| author | Abualigah, Laith |
| author2 | Ahmad, Esraa Nasser Ikotun, Abiodun M. Abu Zitar, Raed Alsoud, Anas Ratib Khodadadi, Nima Ezugwu, Absalom E. Jia, Heming |
| author2_role | author author author author author author author |
| author_facet | Abualigah, Laith Ahmad, Esraa Nasser Ikotun, Abiodun M. Abu Zitar, Raed Alsoud, Anas Ratib Khodadadi, Nima Ezugwu, Absalom E. Jia, Heming |
| author_role | author |
| dc.creator.none.fl_str_mv | Abualigah, Laith Ahmad, Esraa Nasser Ikotun, Abiodun M. Abu Zitar, Raed Alsoud, Anas Ratib Khodadadi, Nima Ezugwu, Absalom E. Jia, Heming |
| dc.date.none.fl_str_mv | 2024-05-28T05:36:14Z 2024-05-28T05:36:14Z 2024 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 9780443139253 https://depot.sorbonne.ae/handle/20.500.12458/1614 10.1016/B978-0-443-13925-3.00008-X |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications 978-0-443-13925-3 |
| dc.subject.none.fl_str_mv | Animal migration optimization optimization algorithms metaheuristic survey applications |
| dc.title.none.fl_str_mv | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::book::book part |
| description | A new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. In this paper, we present an overview of the AMO algorithm, describe the algorithm procedure, summarize some of the recent works and applications that use AMO algorithms, classify these works in many application domains, and display the robustness points, weak points, and limitations for AMO. This paper can help and direct the researchers in future works in using AMO in their studies. |
| id | sorbonner_097c0dfc317848a1d3591da3fadb5673 |
| identifier_str_mv | 9780443139253 10.1016/B978-0-443-13925-3.00008-X |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1614 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
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| spelling | Animal migration optimization algorithm: novel optimizer, analysis, and applicationsAbualigah, LaithAhmad, Esraa NasserIkotun, Abiodun M.Abu Zitar, RaedAlsoud, Anas RatibKhodadadi, NimaEzugwu, Absalom E.Jia, HemingAnimal migration optimizationoptimizationalgorithmsmetaheuristicsurveyapplicationsA new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. In this paper, we present an overview of the AMO algorithm, describe the algorithm procedure, summarize some of the recent works and applications that use AMO algorithms, classify these works in many application domains, and display the robustness points, weak points, and limitations for AMO. This paper can help and direct the researchers in future works in using AMO in their studies.2024-05-28T05:36:14Z2024-05-28T05:36:14Z2024Controlled Vocabulary for Resource Type Genres::text::book::book partapplication/pdf9780443139253https://depot.sorbonne.ae/handle/20.500.12458/161410.1016/B978-0-443-13925-3.00008-XenMetaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications978-0-443-13925-3oai:depot.sorbonne.ae:20.500.12458/16142024-07-17T18:00:28Z |
| spellingShingle | Animal migration optimization algorithm: novel optimizer, analysis, and applications Abualigah, Laith Animal migration optimization optimization algorithms metaheuristic survey applications |
| title | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| title_full | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| title_fullStr | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| title_full_unstemmed | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| title_short | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| title_sort | Animal migration optimization algorithm: novel optimizer, analysis, and applications |
| topic | Animal migration optimization optimization algorithms metaheuristic survey applications |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1614 |