Datasets › RSM-based multi-objective optimization using desirability functions

RSM-based multi-objective optimization using desirability functions

Introduced by Juan Gamero-Salinas et al. in Response Surface Methodology coupled with desirability functions for multi-objective optimization: minimizing indoor overheating hours and maximizing useful daylight illuminance12 Sep 2024 archive 2025-07-28

The following files contains the simulation inputs and outputs for conducting the multi-objetive optimization of thermal comfort and dyalight with the Response Surface Methodology. This files feed are needed for running the R script/code as well as the datasets are contained in the Github repository.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

juan-gamero-salinas/rsm-thermal-daylight-optimization

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Multiobjective Optimization

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Tabular

Languages archive 2025-07-28

English

Variants archive 2025-07-28

RSM-based multi-objective optimization using desirability functions

1 variant name, as the archive lists them.

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