AP47: Multi-objective optimisation and machine learning for climate-friendly building design
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Opossum
Feb 20, 2026
Zorn, Max Benjamin; Paule, Robin; Akbar, Zuardin; Wortmann, Thomas, 2026, "Opossum", https://doi.org/10.18419/DARUS-5685, DaRUS, V1
Opossum Opossum is an optimization plug-in for Grasshopper (for Rhino) that implements model-based and evolutionary optimization algorithms for single- and multi-objective problems. The plugin integrates GUI components into Grasshopper to configure runs, visualize results, and persist optimizer state inside Grasshopper documents. This repository co...
Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
Mar 17, 2025
Zorn, Max Benjamin; Claus, Luisa; Frenzel, Christian; Wortmann, Thomas, 2024, "Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.", https://doi.org/10.18419/DARUS-4532, DaRUS, V2
This dataset contains all generated samples for a multi-objective optimization benchmark on a realistic building performance simulation problem. The samples are saved in JSON files. Every file contains the results of an independent optimization run. The JSON log files are organized into two folders. AA_BPS_Benchmark contains the logs from the bench...
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