Multi-objective carrier chaotic evolutionary algorithm for DNA sequences design

作     者：Xiao Jianhua, Xu Jin, Geng Xiutang and Pan Linqiang(Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China) 

作者机构：Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China 

出 版 物：《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))

年 卷 期：2007年第17卷第12期

页      面：1515-1520页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by National Natural Science Foundation of China (Grant Nos .60373089,60674106,30570431,and 60533010) the ProgramforNew Century Excellent Talentsin University (Grant No . NCET-05-0612) the Ph.D.Programs Foundation of Ministry of Education of China (GrantNo .20060487014)) the Chenguang Programof Wuhan (Grant No .200750731262) 

主　　题：DNA computing carrier chaotic search multi-objective evolutionary algorithm DNA sequences design. 

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.