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Data · dataset · 2026

Dataset and code for AI-supported many-objective optimization of U3A design in cold regions

Listed in Teesside University Research Data Repository

This repository contains the dataset and code supporting the article “Multi-objective optimization based on ANN and NSGA-III: integrated design of luminous environment, thermal comfort, and heating/cooling loads for U3A in cold regions”.

Description

The repository includes: (1) the 1,900-case simulation dataset, (2) definitions of the 19 design variables and 12 performance objectives, (3) scripts for training and evaluating the 12 ANN surrogate models, (4) Sobol sensitivity analysis scripts, and (5) NSGA-III optimization scripts.

The files are provided to support transparency and reproducibility of the reported results.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/3yjtdm3bc4.116 h agoJSON v1
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concepts[field].anzsrc:field:400501mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Architectural Engineering']
concepts[field].anzsrc:group:4611mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Machine Learning']
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concepts[method].local:method:simulationenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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