Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library
Published in Journal of Building Engineering, 2023
Recommended citation: Wen S, Hu X, Hua G, et al. Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library[J]. Journal of Building Engineering, 2023, 63: 105532. https://doi.org/10.1016/j.jobe.2022.105532
This study proposed a parameterization method for the selection and design of a shading strategy that would reduce glare while maintaining a satisfactory daylighting level, through the construction of Pareto sets based on a multi-objective genetic algorithm.
Recommended citation: Wen S, Hu X, Hua G, et al. Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library[J]. Journal of Building Engineering, 2023, 63: 105532.