计算机应用
計算機應用
계산궤응용
COMPUTER APPLICATION
2009年
11期
3056-3059
,共4页
王延峰%申永鹏%张勋才%崔光照
王延峰%申永鵬%張勛纔%崔光照
왕연봉%신영붕%장훈재%최광조
DNA计算%编码序列%遗传算法%NSGA-Ⅱ
DNA計算%編碼序列%遺傳算法%NSGA-Ⅱ
DNA계산%편마서렬%유전산법%NSGA-Ⅱ
DNA computing%coded sequence%Genetic Algorithm (GA)%NSGA-Ⅱ
针对DNA计算中的编码序列设计问题,分析了DNA编码序列设计的目标和需要满足的约束条件,并建立了相应的数学模型.通过将约束条件引入非支配排序过程,提出了一种改进的NSGA-Ⅱ算法.实验结果表明,该算法具有良好的收敛特性和种群多样性,能为可控的DNA计算提供可靠的编码序列.
針對DNA計算中的編碼序列設計問題,分析瞭DNA編碼序列設計的目標和需要滿足的約束條件,併建立瞭相應的數學模型.通過將約束條件引入非支配排序過程,提齣瞭一種改進的NSGA-Ⅱ算法.實驗結果錶明,該算法具有良好的收斂特性和種群多樣性,能為可控的DNA計算提供可靠的編碼序列.
침대DNA계산중적편마서렬설계문제,분석료DNA편마서렬설계적목표화수요만족적약속조건,병건립료상응적수학모형.통과장약속조건인입비지배배서과정,제출료일충개진적NSGA-Ⅱ산법.실험결과표명,해산법구유량호적수렴특성화충군다양성,능위가공적DNA계산제공가고적편마서렬.
Concerning DNA codewords design, the authors set up the mathematical model by analyzing the objectives and the restrictions that should be satisfied. A new codewords design method named the Improved Non-dominated Sorting Genetic Algorithm (INSGA- Ⅱ) was proposed by introducing the constraints to the non-dominated sorting process. The experiments demonstrate that INSGA- Ⅱ has higher convergence speed and better population diversity than those of NSGA, and can provide reliable and effective codewords for the controllable DNA computing.