Institute of Computational Design and Construction

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.

21 to 30 of 333 Results

MOEAD_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 - 6.7 MB - MD5: 3bf3e1b3b97d237d91caaeb38597cff3
NSGA-II_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 - 539.6 KB - MD5: 1bd79655241cf22fb4ba69debed85290
NSGA-II_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 - 541.8 KB - MD5: 032105fa4cf7a73d1de6461771b9ff8e
NSGA-II_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 - 546.4 KB - MD5: 8cbf39c2f040de09a08193f110bf7105
NSGA-II_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 - 551.6 KB - MD5: a70a83ede630e71ec4db9f7b5c273a22
NSGA-II_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 - 540.8 KB - MD5: 289a9c259568eae04b42a92b30e1397c
NSGA-II_1.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: f401fc26d04bf1a3c74898c917e17c27
NSGA-II_2.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: 0aa16885f488b2612b4f6df2bd3356d5
NSGA-II_3.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: 658363c4aca506d02b2a8718c4e50c80
NSGA-II_4.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: b7c2b63a77e461a12e30d2b1b3235198

MOEAD_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 - 6.7 MB -

NSGA-II_00.json

JSON - 539.6 KB -

NSGA-II_01.json

JSON - 541.8 KB -

NSGA-II_02.json

JSON - 546.4 KB -

NSGA-II_03.json

JSON - 551.6 KB -

NSGA-II_04.json

JSON - 540.8 KB -

NSGA-II_1.json

JSON - 7.0 MB -

NSGA-II_2.json

JSON - 6.9 MB -

NSGA-II_3.json

JSON - 6.9 MB -

NSGA-II_4.json

JSON - 6.9 MB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications