Application of Red Deer Algorithm in Optimizing Complex functions
The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. The RD algorithm blends evolutionary algorithms' survival of the fittest concept with heuristic search techniques' produc...
محفوظ في:
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| مؤلفون آخرون: | |
| منشور في: |
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/9624345 https://depot.sorbonne.ae/handle/20.500.12458/1262 |
| الوسوم: |
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| _version_ | 1857415064786567168 |
|---|---|
| author | Zitar, Raed |
| author2 | Abualigah, Laith |
| author2_role | author |
| author_facet | Zitar, Raed Abualigah, Laith |
| author_role | author |
| dc.creator.none.fl_str_mv | Zitar, Raed Abualigah, Laith |
| dc.date.none.fl_str_mv | 2021 2022-03-28T06:59:09Z 2022-03-28T06:59:09Z |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/document/9624345 https://depot.sorbonne.ae/handle/20.500.12458/1262 10.1109/CISP-BMEI53629.2021.9624345 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) |
| dc.subject.none.fl_str_mv | RD algorithm heuristic search techniques red deer algorithm complex functions optimization RDA performance population-based meta-heuristic algorithm evolutionary algorithms |
| dc.title.none.fl_str_mv | Application of Red Deer Algorithm in Optimizing Complex functions |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedings |
| description | The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. The RD algorithm blends evolutionary algorithms' survival of the fittest concept with heuristic search techniques' productivity and richness. It is critical to assess this algorithm's performance in comparison with other well-known heuristic methods. The findings are presented along with additional recommendations for increasing RDA performance based on the analysis. The readers of this paper will gain a grasp of the RD algorithm and its optimization ability to determine whether this algorithm is appropriate for their particular business, research, or industrial needs. |
| id | sorbonner_b61da3f6aa2d88972cbfce749e516607 |
| identifier_str_mv | 10.1109/CISP-BMEI53629.2021.9624345 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1262 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Application of Red Deer Algorithm in Optimizing Complex functionsZitar, RaedAbualigah, LaithRD algorithmheuristic search techniquesred deer algorithmcomplex functionsoptimizationRDA performancepopulation-based meta-heuristic algorithmevolutionary algorithmsThe Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. The RD algorithm blends evolutionary algorithms' survival of the fittest concept with heuristic search techniques' productivity and richness. It is critical to assess this algorithm's performance in comparison with other well-known heuristic methods. The findings are presented along with additional recommendations for increasing RDA performance based on the analysis. The readers of this paper will gain a grasp of the RD algorithm and its optimization ability to determine whether this algorithm is appropriate for their particular business, research, or industrial needs.2022-03-28T06:59:09Z2022-03-28T06:59:09Z2021Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedingshttps://ieeexplore.ieee.org/document/9624345https://depot.sorbonne.ae/handle/20.500.12458/126210.1109/CISP-BMEI53629.2021.9624345en2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)oai:depot.sorbonne.ae:20.500.12458/12622022-12-08T11:12:12Z |
| spellingShingle | Application of Red Deer Algorithm in Optimizing Complex functions Zitar, Raed RD algorithm heuristic search techniques red deer algorithm complex functions optimization RDA performance population-based meta-heuristic algorithm evolutionary algorithms |
| title | Application of Red Deer Algorithm in Optimizing Complex functions |
| title_full | Application of Red Deer Algorithm in Optimizing Complex functions |
| title_fullStr | Application of Red Deer Algorithm in Optimizing Complex functions |
| title_full_unstemmed | Application of Red Deer Algorithm in Optimizing Complex functions |
| title_short | Application of Red Deer Algorithm in Optimizing Complex functions |
| title_sort | Application of Red Deer Algorithm in Optimizing Complex functions |
| topic | RD algorithm heuristic search techniques red deer algorithm complex functions optimization RDA performance population-based meta-heuristic algorithm evolutionary algorithms |
| url | https://ieeexplore.ieee.org/document/9624345 https://depot.sorbonne.ae/handle/20.500.12458/1262 |