• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (3): 179-184.

• 论文 • Previous Articles     Next Articles

A Combinational Model to Optimize DNA Encoding Based on Discrete Particle Swarm Optimization

REN Xiaona1,ZHANG Dafang1,2,XIANG Xuyu2   

  1. (1.School of Software,Hunan University,Changsha 410082;
    2.School of Computer and Communications,Hunan University,Changsha 410082,China)
  • Received:2009-12-15 Revised:2010-03-15 Online:2011-03-25 Published:2011-03-25

Abstract:

We analyze the objective and several constraints of DNA encoding, build a combinational optimization model. Based on this model, a discrete particle swarm optimization (DPSO) algorithm is proposed to produce DNA encoding sequences. According to the special constraints and the characteristics of discrete parameters, we redefine the computation rules of particle’s position and velocity. The result shows that the DNA sequences produced by DPSO have better quality than that produced by the genetic algorithm.

Key words: DNA computing;DNA encoding;combinational optimization;discrete particle swarm optimization