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DaRUS

(University of Stuttgart)

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Publication Year: 2024

21 to 30 of 47,256 Results

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
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

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 -

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 -

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 -

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 -