Institute of Computational Design and Construction

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1 to 10 of 347 Results

ABxM.Core: The Core Libraries of the ABxM Framework Jun 5, 2025 - ABxM Framework for Agent-based Modeling and Simulation Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/DARUS-2994, DaRUS, V5 The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any application that is compatible with McNeel’s Rhino.Inside technology. ABxM.Core...
ABxM.Core-1.7.0.zip Jun 5, 2025 - ABxM.Core: The Core Libraries of the ABxM Framework ZIP Archive - 7.4 MB - MD5: 69640fa696c81c93398350afb98da032
ABxM.Core.Help.chm Jun 5, 2025 - ABxM.Core: The Core Libraries of the ABxM Framework application/vnd.ms-htmlhelp - 519.1 KB - MD5: 10923118dea9f1d0b341d9249add8ab9
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
LHS_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 - 1.3 MB - MD5: a6cbae1b4477d3e08c2775ccf15d5c68

ABxM.Core: The Core Libraries of the ABxM Framework

Jun 5, 2025 - ABxM Framework for Agent-based Modeling and Simulation

Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/DARUS-2994, DaRUS, V5

The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any application that is compatible with McNeel’s Rhino.Inside technology. ABxM.Core...

ABxM.Core-1.7.0.zip

Jun 5, 2025 - ABxM.Core: The Core Libraries of the ABxM Framework

ZIP Archive - 7.4 MB -

ABxM.Core.Help.chm

Jun 5, 2025 - ABxM.Core: The Core Libraries of the ABxM Framework

application/vnd.ms-htmlhelp - 519.1 KB -

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 -

GP_01.json

JSON - 560.3 KB -

GP_02.json

JSON - 546.2 KB -

GP_03.json

JSON - 546.2 KB -

GP_04.json

JSON - 555.3 KB -

LHS_00.json

JSON - 1.3 MB -

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