Review and analysis for the Red Deer Algorithm
The Red Deer algorithm (RDA), a recent population-based meta-heuristic algorithm, is thoroughly reviewed. The RD algorithm combines the survival of the fittest principle from the evolutionary algorithms and the productivity and richness of heuristic search techniques. Different variants and hybrids...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://dspaceusad7.4science.cloud/handle/123456789/1237 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1857415063538761728 |
|---|---|
| author | Zitar, Raed |
| author2 | Abualigah, Laith Al-Dmour, Nidal A. |
| author2_role | author author |
| author_facet | Zitar, Raed Abualigah, Laith Al-Dmour, Nidal A. |
| author_role | author |
| dc.creator.none.fl_str_mv | Zitar, Raed Abualigah, Laith Al-Dmour, Nidal A. |
| dc.date.none.fl_str_mv | 2021-12-27T07:46:35Z 2021-12-27T07:46:35Z 2021 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1007/s12652-021-03602-1 https://dspaceusad7.4science.cloud/handle/123456789/1237 10.1007/s12652-021-03602-1 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Journal of Ambient Intelligence and Humanized Computing 1868-5137 |
| dc.subject.none.fl_str_mv | Red Deer Algorithm Meta-heuristics Evolutionary Exploitation |
| dc.title.none.fl_str_mv | Review and analysis for the Red Deer Algorithm |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | The Red Deer algorithm (RDA), a recent population-based meta-heuristic algorithm, is thoroughly reviewed. The RD algorithm combines the survival of the fittest principle from the evolutionary algorithms and the productivity and richness of heuristic search techniques. Different variants and hybrids of this algorithm are presented and investigated. All the applications that were solved with this algorithm are presented. It is crucial to analyze the performance of this algorithm, therefore, the paper sheds light on the algorithm unique features and weaknesses covering the applications that are primarily suitable for it. The conclusions are presented, and further recommendations are suggested based on the review and analysis covered. The readers of this paper will have an understanding of the RD algorithm and its variants and, consequently, decide how suitable this algorithm is for their own business, research, or industrial applications. |
| id | sorbonner_7eb0b2436988f16aa841167ec07ffc9c |
| identifier_str_mv | 10.1007/s12652-021-03602-1 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1237 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Review and analysis for the Red Deer AlgorithmZitar, RaedAbualigah, LaithAl-Dmour, Nidal A.Red Deer AlgorithmMeta-heuristicsEvolutionaryExploitationThe Red Deer algorithm (RDA), a recent population-based meta-heuristic algorithm, is thoroughly reviewed. The RD algorithm combines the survival of the fittest principle from the evolutionary algorithms and the productivity and richness of heuristic search techniques. Different variants and hybrids of this algorithm are presented and investigated. All the applications that were solved with this algorithm are presented. It is crucial to analyze the performance of this algorithm, therefore, the paper sheds light on the algorithm unique features and weaknesses covering the applications that are primarily suitable for it. The conclusions are presented, and further recommendations are suggested based on the review and analysis covered. The readers of this paper will have an understanding of the RD algorithm and its variants and, consequently, decide how suitable this algorithm is for their own business, research, or industrial applications.2021-12-27T07:46:35Z2021-12-27T07:46:35Z2021Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1007/s12652-021-03602-1https://dspaceusad7.4science.cloud/handle/123456789/123710.1007/s12652-021-03602-1enJournal of Ambient Intelligence and Humanized Computing1868-5137oai:depot.sorbonne.ae:20.500.12458/12372023-12-05T06:08:57Z |
| spellingShingle | Review and analysis for the Red Deer Algorithm Zitar, Raed Red Deer Algorithm Meta-heuristics Evolutionary Exploitation |
| title | Review and analysis for the Red Deer Algorithm |
| title_full | Review and analysis for the Red Deer Algorithm |
| title_fullStr | Review and analysis for the Red Deer Algorithm |
| title_full_unstemmed | Review and analysis for the Red Deer Algorithm |
| title_short | Review and analysis for the Red Deer Algorithm |
| title_sort | Review and analysis for the Red Deer Algorithm |
| topic | Red Deer Algorithm Meta-heuristics Evolutionary Exploitation |
| url | https://dspaceusad7.4science.cloud/handle/123456789/1237 |