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

51 to 60 of 333 Results
NSPSO_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 - 6.9 MB - MD5: 68c1ccbc06bad6a04a49515d05af76a5
NSPSO_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 - 562.4 KB - MD5: 7bb6f0c258343e5f0a4775b259cf0d3e
NSPSO_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 - 6.9 MB - MD5: 7fefe74d8de2705fed016455aa9b3943
NSPSO_05.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 - 6.9 MB - MD5: 42445eb6f2ff20611f7d365b4de08df4
RBFMOpt_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 - 558.6 KB - MD5: bc36ec8ed96ab20002826800c421aafa
RBFMOpt_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 - 558.9 KB - MD5: 753c4e8b1a5fc57d34eb98f47323ded8
RBFMOpt_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 - 558.9 KB - MD5: 8235d5efd99baeab177e0cbd3d0c1e92
RBFMOpt_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 - 559.1 KB - MD5: c56efd9daea1872b2fc81a257d84ad4f
RBFMOpt_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 - 558.0 KB - MD5: ce827b9c99287a81d83c9e68dfa16109
TPE_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 - 562.9 KB - MD5: 5d95a29a847745af2f80f793d0a53b64
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.