Particle swarm optimization algorithm: review and applications
Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. Individual birds share information about their position, speed, and fitness while searching the food...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1612 |
| الوسوم: |
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| _version_ | 1857415064352456704 |
|---|---|
| author | Abualigah, Laith |
| author2 | Sheikhan, Ahlam M. Ikotun, Abiodun Abu Zitar, Raed Alsoud, Anas Ratib Al-Shourbaji, Ibrahim Hussien, Abdelazim G. Jia, Heming |
| author2_role | author author author author author author author |
| author_facet | Abualigah, Laith Sheikhan, Ahlam M. Ikotun, Abiodun Abu Zitar, Raed Alsoud, Anas Ratib Al-Shourbaji, Ibrahim Hussien, Abdelazim G. Jia, Heming |
| author_role | author |
| dc.creator.none.fl_str_mv | Abualigah, Laith Sheikhan, Ahlam M. Ikotun, Abiodun Abu Zitar, Raed Alsoud, Anas Ratib Al-Shourbaji, Ibrahim Hussien, Abdelazim G. Jia, Heming |
| dc.date.none.fl_str_mv | 2024-05-28T05:22:09Z 2024-05-28T05:22:09Z 2024 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 9780443139253 https://depot.sorbonne.ae/handle/20.500.12458/1612 10.1016/B978-0-443-13925-3.00019-4 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Metaheuristic Optimization Algorithms Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications 978-0-443-13925-3 |
| dc.subject.none.fl_str_mv | Particle swarm optimization optimization algorithm metaheuristic survey applications |
| dc.title.none.fl_str_mv | Particle swarm optimization algorithm: review and applications |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::book::book part |
| description | Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. Individual birds share information about their position, speed, and fitness while searching the food source, and the flock's behavior is affected to enhance the likelihood of migration to high-fitness areas. This paper surveys the published papers in PSO algorithms. Twenty research papers are analyzed and classified according to the implementation area used by the PSO algorithm (neural networks, feature selection, and data clustering). The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications. |
| id | sorbonner_2fd38e3ef5d4965bb9fd6f6a52811973 |
| identifier_str_mv | 9780443139253 10.1016/B978-0-443-13925-3.00019-4 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1612 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Particle swarm optimization algorithm: review and applicationsAbualigah, LaithSheikhan, AhlamM. Ikotun, AbiodunAbu Zitar, RaedAlsoud, Anas RatibAl-Shourbaji, IbrahimHussien, Abdelazim G.Jia, HemingParticle swarm optimizationoptimizationalgorithmmetaheuristicsurveyapplicationsParticle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. Individual birds share information about their position, speed, and fitness while searching the food source, and the flock's behavior is affected to enhance the likelihood of migration to high-fitness areas. This paper surveys the published papers in PSO algorithms. Twenty research papers are analyzed and classified according to the implementation area used by the PSO algorithm (neural networks, feature selection, and data clustering). The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications.2024-05-28T05:22:09Z2024-05-28T05:22:09Z2024Controlled Vocabulary for Resource Type Genres::text::book::book partapplication/pdf9780443139253https://depot.sorbonne.ae/handle/20.500.12458/161210.1016/B978-0-443-13925-3.00019-4enMetaheuristic Optimization AlgorithmsMetaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications978-0-443-13925-3oai:depot.sorbonne.ae:20.500.12458/16122024-07-17T18:00:31Z |
| spellingShingle | Particle swarm optimization algorithm: review and applications Abualigah, Laith Particle swarm optimization optimization algorithm metaheuristic survey applications |
| title | Particle swarm optimization algorithm: review and applications |
| title_full | Particle swarm optimization algorithm: review and applications |
| title_fullStr | Particle swarm optimization algorithm: review and applications |
| title_full_unstemmed | Particle swarm optimization algorithm: review and applications |
| title_short | Particle swarm optimization algorithm: review and applications |
| title_sort | Particle swarm optimization algorithm: review and applications |
| topic | Particle swarm optimization optimization algorithm metaheuristic survey applications |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1612 |