Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. Math operations inspire the AOA, and it showed s...
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2022
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| الموضوعات: | |
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| _version_ | 1857415063506255872 |
|---|---|
| author | Abu Zitar, Raed |
| author2 | Abualigah, Laith Abd Elaziz, Mohamed Yousri, Dalia Al-qaness, Mohammed A. A. Ewees, Ahmed A. |
| author2_role | author author author author author |
| author_facet | Abu Zitar, Raed Abualigah, Laith Abd Elaziz, Mohamed Yousri, Dalia Al-qaness, Mohammed A. A. Ewees, Ahmed A. |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu Zitar, Raed Abualigah, Laith Abd Elaziz, Mohamed Yousri, Dalia Al-qaness, Mohammed A. A. Ewees, Ahmed A. |
| dc.date.none.fl_str_mv | 2022-09-30T07:24:23Z 2022-09-30T07:24:23Z 2022 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1007/s10845-022-02016-w 10.1007/s10845-022-02016-w |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Journal of Intelligent Manufacturing 0956-5515 |
| dc.subject.none.fl_str_mv | Data clustering Global optimization Arithmetic optimization algorithm (AOA) Lévy flight (LF) Opposition-based learning (OBL) |
| dc.title.none.fl_str_mv | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. Math operations inspire the AOA, and it showed significant performance in dealing with different optimization problems. However, the traditional AOA faces some limitations in its search process. Thus, we develop a new variant of the AOA, namely, Augmented AOA (AAOA), integrated with the opposition-based learning (OLB) and Lévy flight (LF) distribution. The main idea of applying OLB and LF is to improve the traditional AOA exploration and exploitation trends in order to find the best clusters. To evaluate the AAOA, we implemented extensive experiments using twenty-three well-known benchmark functions and eight data clustering datasets. We also evaluated the proposed AAOA with extensive comparisons to different optimization algorithms. The outcomes verified the superiority of the AAOA over the traditional AOA and several MH optimization algorithms. Overall, the applications of the LF and OLB have a significant impact on the performance of the conventional AOA. |
| id | sorbonner_db724a115803be0b7f54c8696d7b52fc |
| identifier_str_mv | 10.1007/s10845-022-02016-w |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1309 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clusteringAbu Zitar, RaedAbualigah, LaithAbd Elaziz, MohamedYousri, DaliaAl-qaness, Mohammed A. A.Ewees, Ahmed A.Data clusteringGlobal optimizationArithmetic optimization algorithm (AOA)Lévy flight (LF)Opposition-based learning (OBL)This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. Math operations inspire the AOA, and it showed significant performance in dealing with different optimization problems. However, the traditional AOA faces some limitations in its search process. Thus, we develop a new variant of the AOA, namely, Augmented AOA (AAOA), integrated with the opposition-based learning (OLB) and Lévy flight (LF) distribution. The main idea of applying OLB and LF is to improve the traditional AOA exploration and exploitation trends in order to find the best clusters. To evaluate the AAOA, we implemented extensive experiments using twenty-three well-known benchmark functions and eight data clustering datasets. We also evaluated the proposed AAOA with extensive comparisons to different optimization algorithms. The outcomes verified the superiority of the AAOA over the traditional AOA and several MH optimization algorithms. Overall, the applications of the LF and OLB have a significant impact on the performance of the conventional AOA.2022-09-30T07:24:23Z2022-09-30T07:24:23Z2022Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1007/s10845-022-02016-w10.1007/s10845-022-02016-wenJournal of Intelligent Manufacturing0956-5515oai:depot.sorbonne.ae:20.500.12458/13092024-09-11T10:46:22Z |
| spellingShingle | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering Abu Zitar, Raed Data clustering Global optimization Arithmetic optimization algorithm (AOA) Lévy flight (LF) Opposition-based learning (OBL) |
| title | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| title_full | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| title_fullStr | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| title_full_unstemmed | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| title_short | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| title_sort | Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering |
| topic | Data clustering Global optimization Arithmetic optimization algorithm (AOA) Lévy flight (LF) Opposition-based learning (OBL) |