Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates
%0 Journal Article
%1 Zorn_2025
%A Zorn, Max
%A Claus, Luisa
%A Frenzel, Christian
%A Wortmann, Thomas
%D 2025
%I Elsevier BV
%J Energy and Buildings
%K ai ap31 ap47 myown optimization peer
%P 115562
%R 10.1016/j.enbuild.2025.115562
%T Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates
%U http://dx.doi.org/10.1016/j.enbuild.2025.115562
%V 336
@article{Zorn_2025,
added-at = {2025-05-05T11:29:03.000+0200},
author = {Zorn, Max and Claus, Luisa and Frenzel, Christian and Wortmann, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2efc94bcc9073da6928ba78be4531160f/mazorn},
doi = {10.1016/j.enbuild.2025.115562},
interhash = {d4df800633acf9c415c365667a228fe2},
intrahash = {efc94bcc9073da6928ba78be4531160f},
issn = {0378-7788},
journal = {Energy and Buildings},
keywords = {ai ap31 ap47 myown optimization peer},
month = jun,
pages = 115562,
publisher = {Elsevier BV},
timestamp = {2025-05-05T11:29:03.000+0200},
title = {Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates},
url = {http://dx.doi.org/10.1016/j.enbuild.2025.115562},
volume = 336,
year = 2025
}