EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'

AP47: Multi-objective optimisation and machine learning for climate-friendly building design

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131 to 137 of 137 Results

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
TPE_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 - 564.5 KB - MD5: eaa1e986542f2293d4e5422ef2a0be6b
TPE_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 - 563.0 KB - MD5: 22f36e60979453ac299a9af5665a2928
TPE_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 - 564.7 KB - MD5: d98ae4915e36c0ffee8e1aa6e34115c3
TPE_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 - 562.9 KB - MD5: 13c114f99dad9321517fb4bd13a1e78b
README.txt Oct 22, 2024 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates. Plain Text - 1.9 KB - MD5: 21db6eb0640f00882c32c4b0ee0f2a2f

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 -

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 -

TPE_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 - 564.5 KB -

TPE_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 - 563.0 KB -