基于粒子群优化算法的空间照明研究

Ning Gao, Bo Li
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引用次数: 0

摘要

人类社会的发展与照明密切相关。而传统的空间照明布局,在当今时代已经不再完全适合人类的照明需求。本文基于优化算法对空间照明进行了研究。建立室内空间照明模型,引入粒子群算法,并对其进行改进,求出最优解。该算法得到了光照的最优解,并提出了空间伯努利发散布局。为了达到优化照明效果的目的,对传统布局和新型布局进行了仿真实验比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Spatial Lighting Based on Particle Swarm Optimization Algorithm
The development of human society is closely related to lighting. But the traditional space illumination layout, in the present age already no longer completely suits the human's illumination demand. In this paper, based on the optimization algorithm, the spatial lighting is studied. The interior space lighting model is established, the particle swarm optimization is introduced and improved to find the optimal solution. The optimal solution of illumination is obtained by the algorithm, and the spatial Bernoulli lemniscate layout is proposed. Simulation experiments are carried out to compare the traditional layout with the new one in order to achieve the goal of optimizing the lighting effect.
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