Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
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). (2024-10-16)
%0 Generic
%1 https://doi.org/10.18419/darus-4532
%A Zorn, Max Benjamin
%A Claus, Luisa
%A Frenzel, Christian
%A Wortmann, Thomas
%D 2024
%I DaRUS
%K data
%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.
%U https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-4532
@dataset{https://doi.org/10.18419/darus-4532,
added-at = {2024-10-28T13:49:09.000+0100},
author = {Zorn, Max Benjamin and Claus, Luisa and Frenzel, Christian and Wortmann, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d43c9abc43329b528318af4aa738f240/icd},
description = {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). (2024-10-16) },
doi = {10.18419/DARUS-4532},
interhash = {cdcd58190f64d058cda2b730222c5353},
intrahash = {d43c9abc43329b528318af4aa738f240},
keywords = {data},
publisher = {DaRUS},
timestamp = {2024-11-14T10:48:44.000+0100},
title = {Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.},
url = {https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-4532},
year = 2024
}
