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51 to 60 of 1,246 Results
Architectural Graph.ttl
May 12, 2025 - Linked RDF graphs of an architectural and structural representation of a timber structure
Turtle RDF - 4.0 MB - MD5: 679dcbc2dfd07bfa8fd58fdcc20bff5f
Neutral Building Model (Architectural + Structural).ttl
May 12, 2025 - Linked RDF graphs of an architectural and structural representation of a timber structure
Turtle RDF - 463.8 KB - MD5: 6f863543d0040b2d6067b58d897024da
Neutral Building Model integrating architectural and structural data in RDF/Turtle format. All references to BHoM have been removed to ensure vendor neutrality and software independence. The model maintains essential relationships, linking architectural columns to structural bars and architectural floors to structural panels. It is fully queryable,...
RDF_RIF_Rule.pie.txt
May 12, 2025 - Linked RDF graphs of an architectural and structural representation of a timber structure
Plain Text - 722 B - MD5: 636702fe448a3ab36d07cd74aca0609c
Structural Graph.ttl
May 12, 2025 - Linked RDF graphs of an architectural and structural representation of a timber structure
Turtle RDF - 10.2 MB - MD5: 4cb354dc580e24fc1b0578e1dc26e5be
Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
Mar 17, 2025 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Zorn, Max Benjamin; Claus, Luisa; Frenzel, Christian; Wortmann, Thomas, 2024, "Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.", https://doi.org/10.18419/DARUS-4532, DaRUS, V2
This dataset contains all generated samples for a multi-objective optimization benchmark on a realistic building performance simulation problem. The samples are saved in JSON files. Every file contains the results of an independent optimization run. The JSON log files are organized into two folders. AA_BPS_Benchmark contains the logs from the bench...
GP_00.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 553.7 KB - MD5: 21610e5f675a9c616922962e836f1742
GP_01.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 560.3 KB - MD5: 6a5507abfa6ca21b864210f8a9a720eb
GP_02.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 546.2 KB - MD5: 1790b4a412ea8c0235809e20538e539f
GP_03.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 546.2 KB - MD5: 7a0b79d1f887ac6dd9ce1c7d75fa8b28
GP_04.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 555.3 KB - MD5: cce918a488a3074f5ab1ba3d0fe7b344
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