An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. Initially, th...
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2021
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| Online Access: | http://hdl.handle.net/20.500.12458/454 |
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| _version_ | 1857415064394399745 |
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| author | Abu Zitar, Raed |
| author2 | Al‑Betar, Mohammed Azmi Awadallah, Mohammed A. Abu Doush, Iyad Assaleh, Khaled |
| author2_role | author author author author |
| author_facet | Abu Zitar, Raed Al‑Betar, Mohammed Azmi Awadallah, Mohammed A. Abu Doush, Iyad Assaleh, Khaled |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu Zitar, Raed Al‑Betar, Mohammed Azmi Awadallah, Mohammed A. Abu Doush, Iyad Assaleh, Khaled |
| dc.date.none.fl_str_mv | 2021-06-17T07:14:08Z 2021-06-17T07:14:08Z 2022 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1007/s11831-021-09585-8 Archives of Computational Methods in Engineering, 2021, 29p http://hdl.handle.net/20.500.12458/454 10.1007/s11831-021-09585-8 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Archives of Computational Methods in Engineering 1 29 |
| dc.subject.none.fl_str_mv | JAYA Algorithm Metaheuristics Optimization Exploration Exploitation |
| dc.title.none.fl_str_mv | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. Thereafter, the proposed versions of JAYA algorithm have been surveyed such as modified, binary, hybridized, parallel, chaotic, multi-objective and others. The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. Furthermore, the open sources code of JAYA algorithm are identified to provide enrich resources for JAYA research communities. The critical analysis of JAYA algorithm reveals its advantages and limitations in dealing with optimization problems. Finally, the paper ends up with conclusion and possible future enhancements suggested to improve the performance of JAYA algorithm. The reader of this overview will determine the best domains and applications used by JAYA algorithm and can justify their JAYA-related contributions. |
| id | sorbonner_eb533c665a805bfc1c18fda2f0df05ff |
| identifier_str_mv | 10.1007/s11831-021-09585-8 Archives of Computational Methods in Engineering, 2021, 29p |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/454 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and ApplicationsAbu Zitar, RaedAl‑Betar, Mohammed AzmiAwadallah, Mohammed A.Abu Doush, IyadAssaleh, KhaledJAYA AlgorithmMetaheuristicsOptimizationExplorationExploitationIn this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. Thereafter, the proposed versions of JAYA algorithm have been surveyed such as modified, binary, hybridized, parallel, chaotic, multi-objective and others. The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. Furthermore, the open sources code of JAYA algorithm are identified to provide enrich resources for JAYA research communities. The critical analysis of JAYA algorithm reveals its advantages and limitations in dealing with optimization problems. Finally, the paper ends up with conclusion and possible future enhancements suggested to improve the performance of JAYA algorithm. The reader of this overview will determine the best domains and applications used by JAYA algorithm and can justify their JAYA-related contributions.2021-06-17T07:14:08Z2021-06-17T07:14:08Z2022Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1007/s11831-021-09585-8Archives of Computational Methods in Engineering, 2021, 29phttp://hdl.handle.net/20.500.12458/45410.1007/s11831-021-09585-8enArchives of Computational Methods in Engineering129oai:depot.sorbonne.ae:20.500.12458/4542024-09-11T11:01:39Z |
| spellingShingle | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications Abu Zitar, Raed JAYA Algorithm Metaheuristics Optimization Exploration Exploitation |
| title | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| title_full | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| title_fullStr | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| title_full_unstemmed | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| title_short | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| title_sort | An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications |
| topic | JAYA Algorithm Metaheuristics Optimization Exploration Exploitation |
| url | http://hdl.handle.net/20.500.12458/454 |