Optimization of Ultraviolet Transmittance of Three-Layer Glass Based on Quantum Genetic Algorithm

Abstract

In response to the current issue of high ultraviolet incident intensity in residential buildings and considering the objective factor that ultraviolet rays can cause damage to the human body, this paper studies which glass thickness combination can minimize the indoor ultraviolet transmittance. In the design process, this paper introduces the quantum genetic algorithm to optimize the ultraviolet transmittance. By deriving the objective function of the ultraviolet transmittance and combining the simulation of the random population with the equal probability superposition state of qubits, multiple runs are conducted to obtain the optimal one. The optimal glass thickness combinations of L1 = 2.7 mm, L2 = 2.3 mm, L3 = 2.2 mm were obtained. The experimental results show that the algorithm logic optimized through multiple iterations has improved the stability and accuracy of the algorithm’s optimization. The three-layer glass thickness design optimized by the quantum genetic algorithm significantly weakens the ultraviolet transmittance, thereby reducing the harm of ultraviolet rays to the human body to a certain extent, ensuring the physical health of residents and improving their quality of life. This research also provides new ideas for the optimization of intelligent construction design.