Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
M. Zorn, L. Claus, C. Frenzel, and T. Wortmann. Dataset, (2024)Related to: Zorn, M., Claus, L., Frenzel, C., & Wortmann, T. (2025). Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates. Energy and Buildings, 336, 115562. doi: 10.1016/j.enbuild.2025.115562.
DOI: 10.18419/darus-4532
Abstract
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 benchmark conducted using the Building Performance Simulation software TRNSYS for function evaluations. BB_Surrogate_Benchmark contains the files created using regression models for function evaluation, and CC_BPS_Random_Samples contains the logs used to train the surrogate models (see the README.txt file for more information).
Related to: Zorn, M., Claus, L., Frenzel, C., & Wortmann, T. (2025). Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates. Energy and Buildings, 336, 115562. doi: 10.1016/j.enbuild.2025.115562
%0 Generic
%1 zorn2024replication
%A Zorn, Max Benjamin
%A Claus, Luisa
%A Frenzel, Christian
%A Wortmann, Thomas
%D 2024
%K darus mult ubs_10001 ubs_20001 ubs_30176 ubs_40320 ubs_40423 unibibliografie
%R 10.18419/darus-4532
%T Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
%X 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 benchmark conducted using the Building Performance Simulation software TRNSYS for function evaluations. BB_Surrogate_Benchmark contains the files created using regression models for function evaluation, and CC_BPS_Random_Samples contains the logs used to train the surrogate models (see the README.txt file for more information).
@misc{zorn2024replication,
abstract = {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 benchmark conducted using the Building Performance Simulation software TRNSYS for function evaluations. BB_Surrogate_Benchmark contains the files created using regression models for function evaluation, and CC_BPS_Random_Samples contains the logs used to train the surrogate models (see the README.txt file for more information). },
added-at = {2024-10-28T10:10:22.000+0100},
affiliation = {Zorn, Max Benjamin/University of Stuttgart, Claus, Luisa/Transsolar Energietechnik GmbH, Frenzel, Christian/Transsolar Energietechnik GmbH, Wortmann, Thomas/University of Stuttgart},
author = {Zorn, Max Benjamin and Claus, Luisa and Frenzel, Christian and Wortmann, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/267e28058261f5c5e5aeadb762c284efb/unibiblio},
doi = {10.18419/darus-4532},
howpublished = {Dataset},
interhash = {cdcd58190f64d058cda2b730222c5353},
intrahash = {67e28058261f5c5e5aeadb762c284efb},
keywords = {darus mult ubs_10001 ubs_20001 ubs_30176 ubs_40320 ubs_40423 unibibliografie},
note = {Related to: Zorn, M., Claus, L., Frenzel, C., & Wortmann, T. (2025). Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates. Energy and Buildings, 336, 115562. doi: 10.1016/j.enbuild.2025.115562},
orcid-numbers = {Zorn, Max Benjamin/0000-0003-0109-1963, Claus, Luisa/0000-0002-6039-5329, Frenzel, Christian/0009-0004-4008-6408, Wortmann, Thomas/0000-0002-5604-1624},
timestamp = {2025-03-27T10:14:12.000+0100},
title = {Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.},
year = 2024
}
