Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 333 Results
LHS_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 - 7.0 MB - MD5: 0287865a26350178b258a19a9103dc6a
MOEAD_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 - 556.5 KB - MD5: 00ced999c97245139b970e7b95765ce5
MOEAD_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 - 6.6 MB - MD5: 7e6985db79cb7fa0a1262ff2dcd593e5
MOEAD_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 - 555.2 KB - MD5: 776010318b2b44e4fa31de971639b9a2
MOEAD_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 - 553.6 KB - MD5: 980db3dfa367ac08537a02cb4bf6764d
MOEAD_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 - 6.5 MB - MD5: 999a1f4db8ba49a00a49af22338fb69e
MOEAD_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 - 556.6 KB - MD5: 7d0d7ebfd897e169d1a82fe3f1a82bad
MOEAD_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 - 6.7 MB - MD5: c6516c0f980bcf3bd9f20a2a7e368e9c
MOEAD_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 - 555.5 KB - MD5: 822d28ed75e54029da06811545e992ac
MOEAD_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 - 6.6 MB - MD5: 5fd124dcbbe54b230f2837a79a2aa032
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.