_version_ 1852017086521409536
author Juan Ren (733592)
author2 Yuan Meng (173434)
Yu Liu (6938)
author2_role author
author
author_facet Juan Ren (733592)
Yuan Meng (173434)
Yu Liu (6938)
author_role author
dc.creator.none.fl_str_mv Juan Ren (733592)
Yuan Meng (173434)
Yu Liu (6938)
dc.date.none.fl_str_mv 2025-09-02T17:36:39Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0330913.g009
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Trend_analysis_of_multi-objective_optimization_parameters_/30034453
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Evolutionary Biology
Ecology
Biological Sciences not elsewhere classified
sustainable residential development
rise residential districts
rise residential areas
regression analysis revealed
pronounced seasonal variations
outdoor thermal comfort
machine learning approach
integrated genetic algorithm
improving thermal comfort
ii genetic algorithm
floor area ratio
findings provide evidence
facing angle deviation
convolutional neural networks
conducted using nsga
comfort contradiction highlights
capturing complex non
balanced architectural strategies
summer overheating risks
optimized building morphology
yulin </ p
building length
xlink ">
summer utci
similar climates
results indicate
regulatory constraints
positive correlation
offering implications
objective optimization
northern shaanxi
morphological parameters
morphological optimization
linear relationships
influence mechanisms
dual challenge
45 ).
dc.title.none.fl_str_mv Trend analysis of multi-objective optimization parameters.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>Trend analysis of multi-objective optimization parameters.</p>
eu_rights_str_mv openAccess
id Manara_4653a7c9ce331f4d282e2db56ccfbf11
identifier_str_mv 10.1371/journal.pone.0330913.g009
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30034453
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Trend analysis of multi-objective optimization parameters.Juan Ren (733592)Yuan Meng (173434)Yu Liu (6938)Evolutionary BiologyEcologyBiological Sciences not elsewhere classifiedsustainable residential developmentrise residential districtsrise residential areasregression analysis revealedpronounced seasonal variationsoutdoor thermal comfortmachine learning approachintegrated genetic algorithmimproving thermal comfortii genetic algorithmfloor area ratiofindings provide evidencefacing angle deviationconvolutional neural networksconducted using nsgacomfort contradiction highlightscapturing complex nonbalanced architectural strategiessummer overheating risksoptimized building morphologyyulin </ pbuilding lengthxlink ">summer utcisimilar climatesresults indicateregulatory constraintspositive correlationoffering implicationsobjective optimizationnorthern shaanximorphological parametersmorphological optimizationlinear relationshipsinfluence mechanismsdual challenge45 ).<p>Trend analysis of multi-objective optimization parameters.</p>2025-09-02T17:36:39ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0330913.g009https://figshare.com/articles/figure/Trend_analysis_of_multi-objective_optimization_parameters_/30034453CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300344532025-09-02T17:36:39Z
spellingShingle Trend analysis of multi-objective optimization parameters.
Juan Ren (733592)
Evolutionary Biology
Ecology
Biological Sciences not elsewhere classified
sustainable residential development
rise residential districts
rise residential areas
regression analysis revealed
pronounced seasonal variations
outdoor thermal comfort
machine learning approach
integrated genetic algorithm
improving thermal comfort
ii genetic algorithm
floor area ratio
findings provide evidence
facing angle deviation
convolutional neural networks
conducted using nsga
comfort contradiction highlights
capturing complex non
balanced architectural strategies
summer overheating risks
optimized building morphology
yulin </ p
building length
xlink ">
summer utci
similar climates
results indicate
regulatory constraints
positive correlation
offering implications
objective optimization
northern shaanxi
morphological parameters
morphological optimization
linear relationships
influence mechanisms
dual challenge
45 ).
status_str publishedVersion
title Trend analysis of multi-objective optimization parameters.
title_full Trend analysis of multi-objective optimization parameters.
title_fullStr Trend analysis of multi-objective optimization parameters.
title_full_unstemmed Trend analysis of multi-objective optimization parameters.
title_short Trend analysis of multi-objective optimization parameters.
title_sort Trend analysis of multi-objective optimization parameters.
topic Evolutionary Biology
Ecology
Biological Sciences not elsewhere classified
sustainable residential development
rise residential districts
rise residential areas
regression analysis revealed
pronounced seasonal variations
outdoor thermal comfort
machine learning approach
integrated genetic algorithm
improving thermal comfort
ii genetic algorithm
floor area ratio
findings provide evidence
facing angle deviation
convolutional neural networks
conducted using nsga
comfort contradiction highlights
capturing complex non
balanced architectural strategies
summer overheating risks
optimized building morphology
yulin </ p
building length
xlink ">
summer utci
similar climates
results indicate
regulatory constraints
positive correlation
offering implications
objective optimization
northern shaanxi
morphological parameters
morphological optimization
linear relationships
influence mechanisms
dual challenge
45 ).