Recent Advances of Chimp Optimization Algorithm: Variants and Applications
Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few parameters, and no derivation infor...
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2023
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1430 |
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| _version_ | 1857415064032641025 |
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| author | Daoud, Mohammad Sh. |
| author2 | Shehab, Mohammad Abualigah, Laith Alshinwan, Mohammad Abd Elaziz, Mohamed Shambour, Mohd Khaled Yousef Oliva, Diego Alia, Mohammad A. Abu Zitar, Raed |
| author2_role | author author author author author author author author |
| author_facet | Daoud, Mohammad Sh. Shehab, Mohammad Abualigah, Laith Alshinwan, Mohammad Abd Elaziz, Mohamed Shambour, Mohd Khaled Yousef Oliva, Diego Alia, Mohammad A. Abu Zitar, Raed |
| author_role | author |
| dc.creator.none.fl_str_mv | Daoud, Mohammad Sh. Shehab, Mohammad Abualigah, Laith Alshinwan, Mohammad Abd Elaziz, Mohamed Shambour, Mohd Khaled Yousef Oliva, Diego Alia, Mohammad A. Abu Zitar, Raed |
| dc.date.none.fl_str_mv | 2023-07-28T06:28:27Z 2023-07-28T06:28:27Z 2023 |
| dc.identifier.none.fl_str_mv | 1672-6529 2543-2141 https://depot.sorbonne.ae/handle/20.500.12458/1430 10.1007/s42235-023-00414-1 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Journal of Bionic Engineering 2543-2141 |
| dc.subject.none.fl_str_mv | Artificial intelligence Nature-inspired optimization algorithms Chimp optimization algorithm Optimization problems |
| dc.title.none.fl_str_mv | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article::review article |
| description | Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few parameters, and no derivation information is required in the initial search. Also, it is simple, easy to use, flexible, scalable, and has a special capability to strike the right balance between exploration and exploitation during the search which leads to favorable convergence. Therefore, the ChOA has recently gained a very big research interest with tremendous audiences from several domains in a very short time. Thus, in this review paper, several research publications using ChOA have been overviewed and summarized. Initially, introductory information about ChOA is provided which illustrates the natural foundation context and its related optimization conceptual framework. The main operations of ChOA are procedurally discussed, and the theoretical foundation is described. Furthermore, the recent versions of ChOA are discussed in detail which are categorized into modified, hybridized, and paralleled versions. The main applications of ChOA are also thoroughly described. The applications belong to the domains of economics, image processing, engineering, neural network, power and energy, networks, etc. Evaluation of ChOA is also provided. The review paper will be helpful for the researchers and practitioners of ChOA 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_11b64cf6f1dce821e7cd612bef4bdf8f |
| identifier_str_mv | 1672-6529 2543-2141 10.1007/s42235-023-00414-1 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1430 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Recent Advances of Chimp Optimization Algorithm: Variants and ApplicationsDaoud, Mohammad Sh.Shehab, MohammadAbualigah, LaithAlshinwan, MohammadAbd Elaziz, MohamedShambour, Mohd Khaled YousefOliva, DiegoAlia, Mohammad A.Abu Zitar, RaedArtificial intelligenceNature-inspired optimization algorithmsChimp optimization algorithmOptimization problemsChimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few parameters, and no derivation information is required in the initial search. Also, it is simple, easy to use, flexible, scalable, and has a special capability to strike the right balance between exploration and exploitation during the search which leads to favorable convergence. Therefore, the ChOA has recently gained a very big research interest with tremendous audiences from several domains in a very short time. Thus, in this review paper, several research publications using ChOA have been overviewed and summarized. Initially, introductory information about ChOA is provided which illustrates the natural foundation context and its related optimization conceptual framework. The main operations of ChOA are procedurally discussed, and the theoretical foundation is described. Furthermore, the recent versions of ChOA are discussed in detail which are categorized into modified, hybridized, and paralleled versions. The main applications of ChOA are also thoroughly described. The applications belong to the domains of economics, image processing, engineering, neural network, power and energy, networks, etc. Evaluation of ChOA is also provided. The review paper will be helpful for the researchers and practitioners of ChOA 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.2023-07-28T06:28:27Z2023-07-28T06:28:27Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article::review article1672-65292543-2141https://depot.sorbonne.ae/handle/20.500.12458/143010.1007/s42235-023-00414-1enJournal of Bionic Engineering2543-2141oai:depot.sorbonne.ae:20.500.12458/14302024-03-10T07:31:32Z |
| spellingShingle | Recent Advances of Chimp Optimization Algorithm: Variants and Applications Daoud, Mohammad Sh. Artificial intelligence Nature-inspired optimization algorithms Chimp optimization algorithm Optimization problems |
| title | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| title_full | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| title_fullStr | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| title_full_unstemmed | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| title_short | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| title_sort | Recent Advances of Chimp Optimization Algorithm: Variants and Applications |
| topic | Artificial intelligence Nature-inspired optimization algorithms Chimp optimization algorithm Optimization problems |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1430 |