| Multi-objective carrier chaotic evolutionary algorithm for DNA sequences design |
| |
| 作者姓名： | Xiao Jianhu Xu Jin Geng Xiutang Pan Linqiang |
| |
| 作者单位： | Key Laboratory of Image Processing and Intelligent Control，Department of Control Science and Engineering，Huazhong University of Science and Technology，Wuhan 430074，China |
| |
| 基金项目： | 国家自然科学基金;教育部跨世纪优秀人才培养计划;高等学校博士学科点专项科研项目 |
| |
| 摘 要： | DNA computing is a new vista of computation, which is of biochemical type. Since each piece of information is encoded in biological sequences, their design is crucial for successful DNA computation. DNA sequence design is involved with a number of design criteria, which is difficult to be solved by the traditional optimization methods. In this paper, the multi-objective carrier chaotic evolution algorithm (MCCEA) is introduced to solve the DNA sequence design problem. By merging the chaotic search base on power function carrier, a set of good DNA sequences are generated. Furthermore, the simulation results show the efficiency of our method.
|
Multi-objective carrier chaotic evolutionary algorithm for DNA sequences design |
| |
| Xiao Jianhu,Xu Jin,Geng Xiutang,Pan Linqiang.Multi-objective carrier chaotic evolutionary algorithm for DNA sequences design[J].Progress in Natural Science,2007,17(12):1515-1520. |
| |
| Authors: | Xiao Jianhu Xu Jin Geng Xiutang Pan Linqiang |
| |
| Institution: | Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
| |
| Abstract: | DNA computing is a new vista of computation, which is of biochemical type. Since each piece of information is encoded in biological sequences, their design is crucial for successful DNA computation. DNA sequence design is involved with a number of design criteria, which is difficult to be solved by the traditional optimization methods. In this paper, the multi-objective carrier chaotic evolution algorithm (MCCEA) is introduced to solve the DNA sequence design problem. By merging the chaotic search base on power function carrier, a set of good DNA sequences are generated. Furthermore, the simulation results show the efficiency of our method. |
| |
| Keywords: | DNA computing carrier chaotic search multi-objective evolutionary algorithm DNA sequences design |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《自然科学进展(英文版)》浏览原始摘要信息 |
| 点击此处可从《自然科学进展(英文版)》下载免费的PDF全文 |
