基于重力搜索算法的可靠DNA计算DNA序列优化

Jian-hua Xiao, Zhen Cheng
{"title":"基于重力搜索算法的可靠DNA计算DNA序列优化","authors":"Jian-hua Xiao, Zhen Cheng","doi":"10.1109/BIC-TA.2011.12","DOIUrl":null,"url":null,"abstract":"In DNA computing, the design of DNA sequences is one of the most important practical and important research topics. Since DNA sequence design need meet simultaneously several physical, chemical and logical constraints, it is difficult to be solved by the traditional optimization methods. In this paper, the gravitational search algorithm is implemented to solve the DNA sequence design problem. The results of simulation experiments show that the improved algorithm is valid and outperforms other evolutionary algorithms.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"DNA Sequences Optimization Based on Gravitational Search Algorithm for Reliable DNA Computing\",\"authors\":\"Jian-hua Xiao, Zhen Cheng\",\"doi\":\"10.1109/BIC-TA.2011.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In DNA computing, the design of DNA sequences is one of the most important practical and important research topics. Since DNA sequence design need meet simultaneously several physical, chemical and logical constraints, it is difficult to be solved by the traditional optimization methods. In this paper, the gravitational search algorithm is implemented to solve the DNA sequence design problem. The results of simulation experiments show that the improved algorithm is valid and outperforms other evolutionary algorithms.\",\"PeriodicalId\":211822,\"journal\":{\"name\":\"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIC-TA.2011.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIC-TA.2011.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

摘要

在DNA计算中,DNA序列的设计是最重要的实用和重要的研究课题之一。由于DNA序列设计需要同时满足多种物理、化学和逻辑约束,传统的优化方法很难解决这一问题。本文采用引力搜索算法解决DNA序列设计问题。仿真实验结果表明,改进算法是有效的,并且优于其他进化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
DNA Sequences Optimization Based on Gravitational Search Algorithm for Reliable DNA Computing
In DNA computing, the design of DNA sequences is one of the most important practical and important research topics. Since DNA sequence design need meet simultaneously several physical, chemical and logical constraints, it is difficult to be solved by the traditional optimization methods. In this paper, the gravitational search algorithm is implemented to solve the DNA sequence design problem. The results of simulation experiments show that the improved algorithm is valid and outperforms other evolutionary algorithms.
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
期刊最新文献
P Systems with 2D Picture Grammars Double Cross - Over Circular Array Splicing A Context Aware Personalized Media Recommendation System: An Adaptive Evolutionary Algorithm Approach Mathematical Modeling of a Complex System for MHD Flow in Hemodynamics Rule-Based and Example-Based Machine Translation from English to Arabic
×
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