A Review on the Recent Application of Jaya Optimization Algorithm
Jaya is a new metaheuristic that in recent years, has been applied to numerous intractable optimization problems. The important difference between Jaya and other optimization algorithms is that Jaya does not require the tuning of its parameters (a process needed in the other algorithms to escape unw...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25732/ http://umpir.ump.edu.my/id/eprint/25732/1/Review%20on%20the%20recent%20application%20of%20Jaya%20optimization%20algorithm.pdf |
| _version_ | 1848822355280789504 |
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| author | Alsajri, Mohammad Mohd Arfian, Ismail Abdul-Baqi, Saba |
| author_facet | Alsajri, Mohammad Mohd Arfian, Ismail Abdul-Baqi, Saba |
| author_sort | Alsajri, Mohammad |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Jaya is a new metaheuristic that in recent years, has been applied to numerous intractable optimization problems. The important difference between Jaya and other optimization algorithms is that Jaya does not require the tuning of its parameters (a process needed in the other algorithms to escape unwanted convergence). Another different is the efficiency of Jaya in always choosing the best solution. In this paper, a review of the recent application of Jaya algorithm in the field of optimization problem was reviewed. |
| first_indexed | 2025-11-15T02:39:55Z |
| format | Conference or Workshop Item |
| id | ump-25732 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:39:55Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-257322019-09-04T03:11:32Z http://umpir.ump.edu.my/id/eprint/25732/ A Review on the Recent Application of Jaya Optimization Algorithm Alsajri, Mohammad Mohd Arfian, Ismail Abdul-Baqi, Saba QA75 Electronic computers. Computer science Jaya is a new metaheuristic that in recent years, has been applied to numerous intractable optimization problems. The important difference between Jaya and other optimization algorithms is that Jaya does not require the tuning of its parameters (a process needed in the other algorithms to escape unwanted convergence). Another different is the efficiency of Jaya in always choosing the best solution. In this paper, a review of the recent application of Jaya algorithm in the field of optimization problem was reviewed. IEEE 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25732/1/Review%20on%20the%20recent%20application%20of%20Jaya%20optimization%20algorithm.pdf Alsajri, Mohammad and Mohd Arfian, Ismail and Abdul-Baqi, Saba (2019) A Review on the Recent Application of Jaya Optimization Algorithm. In: IEEE 1st Annual International Conference on Information and Sciences (AiCIS 2018) , 20-21 November 2018 , Fallujah, Iraq. pp. 129-132.. ISBN 978-1-5386-9188-5 (Published) https://doi.org/10.1109/AiCIS.2018.00034 |
| spellingShingle | QA75 Electronic computers. Computer science Alsajri, Mohammad Mohd Arfian, Ismail Abdul-Baqi, Saba A Review on the Recent Application of Jaya Optimization Algorithm |
| title | A Review on the Recent Application of Jaya Optimization Algorithm |
| title_full | A Review on the Recent Application of Jaya Optimization Algorithm |
| title_fullStr | A Review on the Recent Application of Jaya Optimization Algorithm |
| title_full_unstemmed | A Review on the Recent Application of Jaya Optimization Algorithm |
| title_short | A Review on the Recent Application of Jaya Optimization Algorithm |
| title_sort | review on the recent application of jaya optimization algorithm |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/25732/ http://umpir.ump.edu.my/id/eprint/25732/ http://umpir.ump.edu.my/id/eprint/25732/1/Review%20on%20the%20recent%20application%20of%20Jaya%20optimization%20algorithm.pdf |