Omkar2118/datasets huggingface dataset:
RSM-based multi-objective optimization using desirability functions

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.

Introducing paper: Response Surface Methodology coupled with desirability functions for multi-objective optimization: minimizing indoor overheating hours and maximizing useful daylight illuminance