Research on Spatial Lighting Based on Particle Swarm Optimization Algorithm

Ning Gao, Bo Li
{"title":"Research on Spatial Lighting Based on Particle Swarm Optimization Algorithm","authors":"Ning Gao, Bo Li","doi":"10.1145/3424978.3424982","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424978.3424982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
基于粒子群优化算法的空间照明研究
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信