J4 ›› 2011, Vol. 33 ›› Issue (3): 179-184.
• 论文 • Previous Articles Next Articles
REN Xiaona1,ZHANG Dafang1,2,XIANG Xuyu2
Received:
Revised:
Online:
Published:
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
REN Xiaona1,ZHANG Dafang1,2,XIANG Xuyu2. A Combinational Model to Optimize DNA Encoding Based on Discrete Particle Swarm Optimization[J]. J4, 2011, 33(3): 179-184.
0 / / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://joces.nudt.edu.cn/EN/
http://joces.nudt.edu.cn/EN/Y2011/V33/I3/179