Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. The proposed method is based on enhancing the search...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , , |
| منشور في: |
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1434 |
| الوسوم: |
إضافة وسم
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| _version_ | 1857415064391254017 |
|---|---|
| author | Abualigah, Laith |
| author2 | Oliva, Diego Jia, Heming Gul, Faiza Khodadadi, Nima Hussien, Abdelazim G Al Shinwan, Mohammad Ezugwu, Absalom E. Abuhaija, Belal Abu Zitar, Raed |
| author2_role | author author author author author author author author author |
| author_facet | Abualigah, Laith Oliva, Diego Jia, Heming Gul, Faiza Khodadadi, Nima Hussien, Abdelazim G Al Shinwan, Mohammad Ezugwu, Absalom E. Abuhaija, Belal Abu Zitar, Raed |
| author_role | author |
| dc.creator.none.fl_str_mv | Abualigah, Laith Oliva, Diego Jia, Heming Gul, Faiza Khodadadi, Nima Hussien, Abdelazim G Al Shinwan, Mohammad Ezugwu, Absalom E. Abuhaija, Belal Abu Zitar, Raed |
| dc.date.none.fl_str_mv | 2023-09-25T11:54:07Z 2023-09-25T11:54:07Z 2023 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 1380-7501 1573-7721 https://depot.sorbonne.ae/handle/20.500.12458/1434 10.1007/s11042-023-16890-w |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Multimedia Tools and Applications 1573-7721 |
| dc.subject.none.fl_str_mv | Prairie dog optimization algorithm Dwarf mongoose optimization algorithm Meta-heuristics Benchmark functions Optimization problems |
| dc.title.none.fl_str_mv | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). The main aim of the proposed IPDOA is to avoid the main weaknesses of the original methods; these weaknesses are poor convergence ability, the imbalance between the search process, and premature convergence. Experiments are conducted on 23 standard benchmark functions, and the results are compared with similar methods from the literature. The results are recorded in terms of the best, worst, and average fitness function, showing that the proposed method is more vital to deal with various problems than other methods. |
| id | sorbonner_ea9af5ee3c6b9da5edb487cf7a29eb27 |
| identifier_str_mv | 1380-7501 1573-7721 10.1007/s11042-023-16890-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:20.500.12458/1434 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problemsAbualigah, LaithOliva, DiegoJia, HemingGul, FaizaKhodadadi, NimaHussien, Abdelazim GAl Shinwan, MohammadEzugwu, Absalom E.Abuhaija, BelalAbu Zitar, RaedPrairie dog optimization algorithmDwarf mongoose optimization algorithmMeta-heuristicsBenchmark functionsOptimization problemsRecently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). The main aim of the proposed IPDOA is to avoid the main weaknesses of the original methods; these weaknesses are poor convergence ability, the imbalance between the search process, and premature convergence. Experiments are conducted on 23 standard benchmark functions, and the results are compared with similar methods from the literature. The results are recorded in terms of the best, worst, and average fitness function, showing that the proposed method is more vital to deal with various problems than other methods.2023-09-25T11:54:07Z2023-09-25T11:54:07Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf1380-75011573-7721https://depot.sorbonne.ae/handle/20.500.12458/143410.1007/s11042-023-16890-wenMultimedia Tools and Applications1573-7721oai:depot.sorbonne.ae:20.500.12458/14342024-07-17T18:00:32Z |
| spellingShingle | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems Abualigah, Laith Prairie dog optimization algorithm Dwarf mongoose optimization algorithm Meta-heuristics Benchmark functions Optimization problems |
| title | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| title_full | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| title_fullStr | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| title_full_unstemmed | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| title_short | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| title_sort | Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems |
| topic | Prairie dog optimization algorithm Dwarf mongoose optimization algorithm Meta-heuristics Benchmark functions Optimization problems |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1434 |