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    <responseDate>2026-10-15T21:03:35Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/3yjtdm3bc4.1</identifier>
                <datestamp>2026-03-31T20:25:29Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Liu, Laiyi</dc:creator>
    <dc:title>Dataset and code for AI-supported many-objective optimization of U3A design in cold regions</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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”.

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.</dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Architectural Engineering</dc:subject>
    <dc:subject>Built Environment</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/3yjtdm3bc4.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/3yjtdm3bc4.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:relation>https://data.mendeley.com/datasets/3yjtdm3bc4</dc:relation>
    <dc:date>2026-03-31T20:25:29Z</dc:date>
    <dc:date>2026-07-01T23:59:59Z</dc:date>
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