Experimental results of NAFPSO algorithm with pipeline complexity of 0.6.
<p>Experimental results of NAFPSO algorithm with pipeline complexity of 0.6.</p>
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1852022834040143872 |
|---|---|
| author | Huichao Guo (14515171) |
| author2 | Runhua Huang (20700820) Shuqin Cheng (14323912) |
| author2_role | author author |
| author_facet | Huichao Guo (14515171) Runhua Huang (20700820) Shuqin Cheng (14323912) |
| author_role | author |
| dc.creator.none.fl_str_mv | Huichao Guo (14515171) Runhua Huang (20700820) Shuqin Cheng (14323912) |
| dc.date.none.fl_str_mv | 2025-02-10T18:43:14Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0317737.t007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Experimental_results_of_NAFPSO_algorithm_with_pipeline_complexity_of_0_6_/28384924 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Evolutionary Biology Ecology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified local optimal problems experimental results show particle swarm optimization scheduling optimization problem scheduling optimization based total scheduling time average scheduling time nacfpso performs well average convergence speed scheduling time convergence speed optimization effect xlink "> still maintain relevant constraints pipeline complexity paper aims objective function emergency management dimensional complexity 49 minutes 17 iterations 00 minutes |
| dc.title.none.fl_str_mv | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Experimental results of NAFPSO algorithm with pipeline complexity of 0.6.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f6b88e8a81fd093bbdf2be1924b672a1 |
| identifier_str_mv | 10.1371/journal.pone.0317737.t007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28384924 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6.Huichao Guo (14515171)Runhua Huang (20700820)Shuqin Cheng (14323912)Evolutionary BiologyEcologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedlocal optimal problemsexperimental results showparticle swarm optimizationscheduling optimization problemscheduling optimization basedtotal scheduling timeaverage scheduling timenacfpso performs wellaverage convergence speedscheduling timeconvergence speedoptimization effectxlink ">still maintainrelevant constraintspipeline complexitypaper aimsobjective functionemergency managementdimensional complexity49 minutes17 iterations00 minutes<p>Experimental results of NAFPSO algorithm with pipeline complexity of 0.6.</p>2025-02-10T18:43:14ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0317737.t007https://figshare.com/articles/dataset/Experimental_results_of_NAFPSO_algorithm_with_pipeline_complexity_of_0_6_/28384924CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/283849242025-02-10T18:43:14Z |
| spellingShingle | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. Huichao Guo (14515171) Evolutionary Biology Ecology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified local optimal problems experimental results show particle swarm optimization scheduling optimization problem scheduling optimization based total scheduling time average scheduling time nacfpso performs well average convergence speed scheduling time convergence speed optimization effect xlink "> still maintain relevant constraints pipeline complexity paper aims objective function emergency management dimensional complexity 49 minutes 17 iterations 00 minutes |
| status_str | publishedVersion |
| title | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| title_full | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| title_fullStr | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| title_full_unstemmed | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| title_short | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| title_sort | Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. |
| topic | Evolutionary Biology Ecology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified local optimal problems experimental results show particle swarm optimization scheduling optimization problem scheduling optimization based total scheduling time average scheduling time nacfpso performs well average convergence speed scheduling time convergence speed optimization effect xlink "> still maintain relevant constraints pipeline complexity paper aims objective function emergency management dimensional complexity 49 minutes 17 iterations 00 minutes |