剖面图和波前约简的启发式方法综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2025-01-03 DOI:10.1145/3711120
Sanderson Gonzaga de Oliveira
{"title":"剖面图和波前约简的启发式方法综述","authors":"Sanderson Gonzaga de Oliveira","doi":"10.1145/3711120","DOIUrl":null,"url":null,"abstract":"This paper surveys heuristic methods for profile and wavefront reductions. These graph layout problems represent a challenge for optimization methods and heuristics especially. This paper presents the graph layout problems with their formal definition. The study provides an ample perspective of techniques for designing heuristic methods for these graph layout problems but concentrates on the approaches and methodologies that yield high-quality solutions. Thus, this survey references the most relevant studies in the associated literature and discusses the current state-of-the-art heuristics for these graph layout problems.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"14 1","pages":""},"PeriodicalIF":23.8000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A survey of heuristics for profile and wavefront reductions\",\"authors\":\"Sanderson Gonzaga de Oliveira\",\"doi\":\"10.1145/3711120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper surveys heuristic methods for profile and wavefront reductions. These graph layout problems represent a challenge for optimization methods and heuristics especially. This paper presents the graph layout problems with their formal definition. The study provides an ample perspective of techniques for designing heuristic methods for these graph layout problems but concentrates on the approaches and methodologies that yield high-quality solutions. Thus, this survey references the most relevant studies in the associated literature and discusses the current state-of-the-art heuristics for these graph layout problems.\",\"PeriodicalId\":50926,\"journal\":{\"name\":\"ACM Computing Surveys\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":23.8000,\"publicationDate\":\"2025-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Computing Surveys\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3711120\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3711120","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

摘要

本文综述了剖面图和波前简化的启发式方法。这些图形布局问题对优化方法和启发式算法提出了挑战。本文给出了图形布局问题的形式化定义。本研究为这些图形布局问题提供了设计启发式方法的充分技术视角,但侧重于产生高质量解决方案的方法和方法。因此,本调查参考了相关文献中最相关的研究,并讨论了这些图形布局问题的当前最先进的启发式方法。
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
A survey of heuristics for profile and wavefront reductions
This paper surveys heuristic methods for profile and wavefront reductions. These graph layout problems represent a challenge for optimization methods and heuristics especially. This paper presents the graph layout problems with their formal definition. The study provides an ample perspective of techniques for designing heuristic methods for these graph layout problems but concentrates on the approaches and methodologies that yield high-quality solutions. Thus, this survey references the most relevant studies in the associated literature and discusses the current state-of-the-art heuristics for these graph layout problems.
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
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
期刊最新文献
Deep Learning Based Image Aesthetic Quality Assessment- A Review AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways Deep Learning Library Testing: Definition, Methods and Challenges A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges ENDEMIC: End-to-End Network Disruptions - Examining Middleboxes, Issues, and Countermeasures - A Survey
×
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