一种监测装置放置的并行遗传算法

Nechunaeva Kseniya, R. Alexey
{"title":"一种监测装置放置的并行遗传算法","authors":"Nechunaeva Kseniya, R. Alexey","doi":"10.1109/SIBIRCON.2017.8109867","DOIUrl":null,"url":null,"abstract":"In this paper, we compare the performance of a simple Genetic Algorithm with a parallel island model GA for solving the monitoring devices placement problem. We have found that in addition to providing a speeding up through the use of parallel processing the island model GA finds better quality solutions in comparison with the simple GA.","PeriodicalId":135870,"journal":{"name":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A parallel genetic algorithm approach for monitoring devices placement\",\"authors\":\"Nechunaeva Kseniya, R. Alexey\",\"doi\":\"10.1109/SIBIRCON.2017.8109867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we compare the performance of a simple Genetic Algorithm with a parallel island model GA for solving the monitoring devices placement problem. We have found that in addition to providing a speeding up through the use of parallel processing the island model GA finds better quality solutions in comparison with the simple GA.\",\"PeriodicalId\":135870,\"journal\":{\"name\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2017.8109867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2017.8109867","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

在本文中,我们比较了一种简单遗传算法与一种并行岛模型遗传算法在解决监控设备放置问题上的性能。我们发现,除了通过使用并行处理提供加速外,孤岛模型遗传算法与简单遗传算法相比,找到了更好的质量解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parallel genetic algorithm approach for monitoring devices placement
In this paper, we compare the performance of a simple Genetic Algorithm with a parallel island model GA for solving the monitoring devices placement problem. We have found that in addition to providing a speeding up through the use of parallel processing the island model GA finds better quality solutions in comparison with the simple GA.
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