Details of the metaheuristic algorithms in comparison experiments.
<p>Details of the metaheuristic algorithms in comparison experiments.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852017025221656576 |
|---|---|
| author | Junhao Wei (6816803) |
| author2 | Yanzhao Gu (21192659) Zhanxi Xie (22177279) Yuzheng Yan (22177282) Baili Lu (21192662) Zikun Li (2460040) Ngai Cheong (21192665) Jiafeng Zhang (233021) Song Zhang (180477) |
| author2_role | author author author author author author author author |
| author_facet | Junhao Wei (6816803) Yanzhao Gu (21192659) Zhanxi Xie (22177279) Yuzheng Yan (22177282) Baili Lu (21192662) Zikun Li (2460040) Ngai Cheong (21192665) Jiafeng Zhang (233021) Song Zhang (180477) |
| author_role | author |
| dc.creator.none.fl_str_mv | Junhao Wei (6816803) Yanzhao Gu (21192659) Zhanxi Xie (22177279) Yuzheng Yan (22177282) Baili Lu (21192662) Zikun Li (2460040) Ngai Cheong (21192665) Jiafeng Zhang (233021) Song Zhang (180477) |
| dc.date.none.fl_str_mv | 2025-09-03T17:33:18Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0322058.t004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Details_of_the_metaheuristic_algorithms_in_comparison_experiments_/30044758 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified outstanding metaheuristic algorithms low population diversity escape local optima algorithm &# 8217 slow convergence rate low convergence accuracy improving convergence speed spiral shape parameters experimental results show excellent woa variants premature convergence results demonstrate experimental section spiral flight enhanced spiral wide range various dimensions quality baseline performs excellently optimal solution multiple strategies levy flight later stages innovative strategies dynamically adjusting different stages different dimensions canonical woa benchmark functions application scenarios accurately updating |
| dc.title.none.fl_str_mv | Details of the metaheuristic algorithms in comparison experiments. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Details of the metaheuristic algorithms in comparison experiments.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_32a0ea6dc71c1087e75557399fb36fe2 |
| identifier_str_mv | 10.1371/journal.pone.0322058.t004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30044758 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Details of the metaheuristic algorithms in comparison experiments.Junhao Wei (6816803)Yanzhao Gu (21192659)Zhanxi Xie (22177279)Yuzheng Yan (22177282)Baili Lu (21192662)Zikun Li (2460040)Ngai Cheong (21192665)Jiafeng Zhang (233021)Song Zhang (180477)Space ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedoutstanding metaheuristic algorithmslow population diversityescape local optimaalgorithm &# 8217slow convergence ratelow convergence accuracyimproving convergence speedspiral shape parametersexperimental results showexcellent woa variantspremature convergenceresults demonstrateexperimental sectionspiral flightenhanced spiralwide rangevarious dimensionsquality baselineperforms excellentlyoptimal solutionmultiple strategieslevy flightlater stagesinnovative strategiesdynamically adjustingdifferent stagesdifferent dimensionscanonical woabenchmark functionsapplication scenariosaccurately updating<p>Details of the metaheuristic algorithms in comparison experiments.</p>2025-09-03T17:33:18ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0322058.t004https://figshare.com/articles/dataset/Details_of_the_metaheuristic_algorithms_in_comparison_experiments_/30044758CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300447582025-09-03T17:33:18Z |
| spellingShingle | Details of the metaheuristic algorithms in comparison experiments. Junhao Wei (6816803) Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified outstanding metaheuristic algorithms low population diversity escape local optima algorithm &# 8217 slow convergence rate low convergence accuracy improving convergence speed spiral shape parameters experimental results show excellent woa variants premature convergence results demonstrate experimental section spiral flight enhanced spiral wide range various dimensions quality baseline performs excellently optimal solution multiple strategies levy flight later stages innovative strategies dynamically adjusting different stages different dimensions canonical woa benchmark functions application scenarios accurately updating |
| status_str | publishedVersion |
| title | Details of the metaheuristic algorithms in comparison experiments. |
| title_full | Details of the metaheuristic algorithms in comparison experiments. |
| title_fullStr | Details of the metaheuristic algorithms in comparison experiments. |
| title_full_unstemmed | Details of the metaheuristic algorithms in comparison experiments. |
| title_short | Details of the metaheuristic algorithms in comparison experiments. |
| title_sort | Details of the metaheuristic algorithms in comparison experiments. |
| topic | Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified outstanding metaheuristic algorithms low population diversity escape local optima algorithm &# 8217 slow convergence rate low convergence accuracy improving convergence speed spiral shape parameters experimental results show excellent woa variants premature convergence results demonstrate experimental section spiral flight enhanced spiral wide range various dimensions quality baseline performs excellently optimal solution multiple strategies levy flight later stages innovative strategies dynamically adjusting different stages different dimensions canonical woa benchmark functions application scenarios accurately updating |