An optimisation method of urban road green space landscape layout based on leapfrog algorithm

IF 0.5 Q4 ENGINEERING, ENVIRONMENTAL International Journal of Environmental Technology and Management Pub Date : 2023-01-01 DOI:10.1504/ijetm.2023.134323
Yuanying Li, Linlin Zheng
{"title":"An optimisation method of urban road green space landscape layout based on leapfrog algorithm","authors":"Yuanying Li, Linlin Zheng","doi":"10.1504/ijetm.2023.134323","DOIUrl":null,"url":null,"abstract":"To improve the effect of green space landscape layout optimisation and shorten the time-consuming of view layout optimisation, this paper proposes an urban road green space landscape layout optimisation method based on leapfrog algorithm. Firstly, GIS is used to collect road landscape layout data. Then, the index weight is calculated by analytic hierarchy process. The frog-leaping algorithm is used to construct the fitness objective function and solve the fitness value. Finally, the fitness values are sorted from good to bad to judge whether the current output optimal value is the global optimal value, and the final landscape layout optimisation scheme is obtained. The experimental results show that the green space landscape layout optimisation time of this method is only 8.3 s, and the rationality of landscape layout is as high as 99.02%, which shows that this method can have a good effect of road green space landscape layout optimisation.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":"78 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Technology and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijetm.2023.134323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

To improve the effect of green space landscape layout optimisation and shorten the time-consuming of view layout optimisation, this paper proposes an urban road green space landscape layout optimisation method based on leapfrog algorithm. Firstly, GIS is used to collect road landscape layout data. Then, the index weight is calculated by analytic hierarchy process. The frog-leaping algorithm is used to construct the fitness objective function and solve the fitness value. Finally, the fitness values are sorted from good to bad to judge whether the current output optimal value is the global optimal value, and the final landscape layout optimisation scheme is obtained. The experimental results show that the green space landscape layout optimisation time of this method is only 8.3 s, and the rationality of landscape layout is as high as 99.02%, which shows that this method can have a good effect of road green space landscape layout optimisation.
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
基于跨越式算法的城市道路绿地景观布局优化方法
为了提高绿地景观布局优化的效果,缩短景观布局优化的时间,本文提出了一种基于跨越式算法的城市道路绿地景观布局优化方法。首先,利用GIS采集道路景观布局数据。然后,采用层次分析法计算指标权重。采用蛙跳算法构造适应度目标函数,求解适应度值。最后对适应度值从好到坏进行排序,判断当前输出的最优值是否为全局最优值,得到最终的景观布局优化方案。实验结果表明,该方法的绿地景观布局优化时间仅为8.3 s,景观布局的合理性高达99.02%,表明该方法能够取得较好的道路绿地景观布局优化效果。
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 去求助
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
66
期刊介绍: IJETM is a refereed and authoritative source of information in the field of environmental technology and management. Together with its sister publications IJEP and IJGEnvI, it provides a comprehensive coverage of environmental issues. It deals with the shorter-term, covering both engineering/technical and management solutions.
期刊最新文献
Valacyclovir Neurotoxicity in Patients with End-Stage Renal Disease: Two Cases Reviewed. An optimisation method of urban road green space landscape layout based on leapfrog algorithm The simulation of ecological spatial pattern evolution of tourist attractions based on remote sensing data An ecological health evaluation of tourist attractions based on gradient boosting decision tree An analysis of change detection in land use land cover area of remotely sensed data using supervised classifier
×
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