Computer Engineering and Applications ›› 2016, Vol. 52 ›› Issue (15): 34-37.

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Multi objective optimization mechanism for DNA coding sequence model

TAN Li1, YING Shi2   

  1. 1.Department of Information Engineering, Wuhan Business University, Wuhan 430056, China
    2.State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China
  • Online:2016-08-01 Published:2016-08-12

多目标优化机制下DNA编码序列模型

谭  莉1,应  石2   

  1. 1.武汉商学院 信息工程系,武汉 430056
    2.武汉大学 软件工程国家重点实验室,武汉 430072

Abstract: In order to solve these imperfection problems of sequence design stability and reliability about DNA computing, fully considering the basic coding problems, this paper designs a DNA coding sequence design algorithm based on multiobjective optimization mechanism. Under the related constraints, this algorithm uses multi-objective optimization mechanism and small populations algorithm, adds the h-distance to the single stranded DNA architecture, and establishes a DNA sequence shared function. The experiments show, this algorithm has certain advantages compared with other algorithms.

Key words: DNA computing, multiobjective optimization, small populations, coding sequence

摘要: 针对现有DNA计算中存在的编码序列设计稳定性、可靠性不完善等问题,充分考虑基本编码问题,设计出一种基于多目标优化机制的DNA编码序列设计算法。在一定的约束条件下,该算法利用了多目标优化机制以及采取小种蚁群算法,将h-distance因子添加到单链DNA架构中,建立一种DNA序列公用方法。通过模拟实验表明,该算法与同类型算法相比,在计算效率、优化性方面具有一定优势。

关键词: DNA计算, 多目标优化, 小种蚁群, 编码序列