基于粒子群优化算法的空间照明研究

Ning Gao, Bo Li
{"title":"基于粒子群优化算法的空间照明研究","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":"{\"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}","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

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study on Improved Algorithm of RSSI Correction and Location in Mine-well Based on Bluetooth Positioning Information Distributed Predefined-time Consensus Tracking Protocol for Multi-agent Systems Evaluation Method Study of Blog's Subject Influence and User's Subject Influence Performance Evaluation of Full Turnover-based Policy in the Flow-rack AS/RS A Hybrid Encoding Based Particle Swarm Optimizer for Feature Selection and Classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1