A multistart and recombination algorithm for finding many unique solutions to spatial aggregation problems

IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Geoinformatica Pub Date : 2024-05-21 DOI:10.1007/s10707-024-00520-0
Ningchuan Xiao, Myung Jin Kim, Yue Lin
{"title":"A multistart and recombination algorithm for finding many unique solutions to spatial aggregation problems","authors":"Ningchuan Xiao, Myung Jin Kim, Yue Lin","doi":"10.1007/s10707-024-00520-0","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":55109,"journal":{"name":"Geoinformatica","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoinformatica","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10707-024-00520-0","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract Image

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
为空间聚合问题寻找多种唯一解决方案的多开始和重组算法
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
Geoinformatica
Geoinformatica 地学-计算机:信息系统
CiteScore
5.60
自引率
10.00%
发文量
25
审稿时长
6 months
期刊介绍: GeoInformatica is located at the confluence of two rapidly advancing domains: Computer Science and Geographic Information Science; nowadays, Earth studies use more and more sophisticated computing theory and tools, and computer processing of Earth observations through Geographic Information Systems (GIS) attracts a great deal of attention from governmental, industrial and research worlds. This journal aims to promote the most innovative results coming from the research in the field of computer science applied to geographic information systems. Thus, GeoInformatica provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of the use of computer science for spatial studies.
期刊最新文献
LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews A case study of spatiotemporal forecasting techniques for weather forecasting CLMTR: a generic framework for contrastive multi-modal trajectory representation learning Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting ICN: Interactive convolutional network for forecasting travel demand of shared micromobility
×
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