{"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}
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.