Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library

Journal article Journal of Building Engineering 2022

Citation: Wen, S., Hu, X., Hua, G., Xue, P., & Lai, D. (2023). Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library. Journal of Building Engineering, 63, 105532.

Abstract

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.