Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

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91 to 100 of 1,139 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 - 563.2 KB - MD5: d1a1030ea65995d16363c7397a66a9fc
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

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 - 563.2 KB -

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 -

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 -

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 -