图形布局使用遗传算法

A. Barreto, H. Barbosa
{"title":"图形布局使用遗传算法","authors":"A. Barreto, H. Barbosa","doi":"10.1109/SBRN.2000.889735","DOIUrl":null,"url":null,"abstract":"We report on our experiences with applying genetic algorithms to the graph drawing problem. The automatic generation of drawings of graphs has important applications in key computer technologies. We are interested here in producing aesthetically-pleasing two-dimensional pictures of undirected graphs drawn with straight edges. To do so we use a hybrid process, applying concepts inspired by the force-directed placement technique with several aesthetic criteria which are to be minimized together. The optimization algorithm used is the genetic algorithm.","PeriodicalId":448461,"journal":{"name":"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Graph layout using a genetic algorithm\",\"authors\":\"A. Barreto, H. Barbosa\",\"doi\":\"10.1109/SBRN.2000.889735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report on our experiences with applying genetic algorithms to the graph drawing problem. The automatic generation of drawings of graphs has important applications in key computer technologies. We are interested here in producing aesthetically-pleasing two-dimensional pictures of undirected graphs drawn with straight edges. To do so we use a hybrid process, applying concepts inspired by the force-directed placement technique with several aesthetic criteria which are to be minimized together. The optimization algorithm used is the genetic algorithm.\",\"PeriodicalId\":448461,\"journal\":{\"name\":\"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBRN.2000.889735\",\"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. Vol.1. Sixth Brazilian Symposium on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBRN.2000.889735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

我们报告了将遗传算法应用于图形绘制问题的经验。图形绘图的自动生成在计算机关键技术中有着重要的应用。在这里,我们感兴趣的是用直边绘制的无向图产生美观的二维图像。为了做到这一点,我们使用了一个混合的过程,应用了由力导向放置技术和几个美学标准启发的概念,这些标准将被最小化。所采用的优化算法为遗传算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph layout using a genetic algorithm
We report on our experiences with applying genetic algorithms to the graph drawing problem. The automatic generation of drawings of graphs has important applications in key computer technologies. We are interested here in producing aesthetically-pleasing two-dimensional pictures of undirected graphs drawn with straight edges. To do so we use a hybrid process, applying concepts inspired by the force-directed placement technique with several aesthetic criteria which are to be minimized together. The optimization algorithm used is the genetic algorithm.
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
×
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:604180095
Book学术官方微信