传染病接触网络的环形优化

D. Ashlock, J. A. Brown, W. Ashlock, Michael Dubé
{"title":"传染病接触网络的环形优化","authors":"D. Ashlock, J. A. Brown, W. Ashlock, Michael Dubé","doi":"10.1109/CIBCB49929.2021.9562885","DOIUrl":null,"url":null,"abstract":"This study compares a current representation for evolving networks to model epidemic spread with a novel representation also studied in a companion paper. This study applies a powerful diversity-friendly algorithm called ring optimization to this novel representation. The problem addressed is that the baseline method is found to optimize only locally; use of the novel representation improves the situation, but not much. The use of ring optimization yields similar or better performance for the ability of the evolved networks to model epidemics while substantially increasing the diversity of those networks.","PeriodicalId":163387,"journal":{"name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ring Optimization of Epidemic Contact Networks\",\"authors\":\"D. Ashlock, J. A. Brown, W. Ashlock, Michael Dubé\",\"doi\":\"10.1109/CIBCB49929.2021.9562885\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study compares a current representation for evolving networks to model epidemic spread with a novel representation also studied in a companion paper. This study applies a powerful diversity-friendly algorithm called ring optimization to this novel representation. The problem addressed is that the baseline method is found to optimize only locally; use of the novel representation improves the situation, but not much. The use of ring optimization yields similar or better performance for the ability of the evolved networks to model epidemics while substantially increasing the diversity of those networks.\",\"PeriodicalId\":163387,\"journal\":{\"name\":\"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIBCB49929.2021.9562885\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIBCB49929.2021.9562885","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

本研究比较了进化网络模型流行病传播的当前表示与在同伴论文中研究的新表示。本研究将一种强大的多样性友好算法称为环优化应用于这种新颖的表示。解决的问题是,基线方法被发现只能局部优化;使用新的表示法可以改善这种情况,但效果并不明显。环优化的使用使进化的网络模拟流行病的能力具有类似或更好的性能,同时大大增加了这些网络的多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ring Optimization of Epidemic Contact Networks
This study compares a current representation for evolving networks to model epidemic spread with a novel representation also studied in a companion paper. This study applies a powerful diversity-friendly algorithm called ring optimization to this novel representation. The problem addressed is that the baseline method is found to optimize only locally; use of the novel representation improves the situation, but not much. The use of ring optimization yields similar or better performance for the ability of the evolved networks to model epidemics while substantially increasing the diversity of those networks.
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:481959085
Book学术官方微信