Computing in Architecture

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11 to 20 of 79 Results

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
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

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 -

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 -

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 -

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 -