Abstract: The design of DNA sequence is important in improving the reliability of DNA computation. Proper constrained terms that DNA sequence should satisfy are selected, and then the evaluation formulas of each DNA individual corresponding to the selected constrained terms are proposed. Genetic Algorithm/Particle Swarm Optimization(GA/PSO) Algorithm is presented to solve the multi-objective optimization problem. Comparison of the results with the known DNA sequences is made under different constrained criteria. An example is illustrated to prove the efficiency of the method.

Key words: DNA coding, muti-objective optimization, Genetic Algorithm/Particle Swarm Optimization(GA/PSO) Algorithm

摘要： DNA编码序列的设计是影响DNA计算可靠性的重要手段，该文从DNA编码设计应满足的多约束条件中选取适当的约束条件，针对这些约束条件提出每个DNA个体应满足的评估公式，采用遗传粒子群算法解决该多目标优化问题，并在不同的约束准则下将计算得到的序列与已有的DNA序列进行了对比。仿真结果证明了该方法的有效性。

关键词: DNA编码, 多目标优化, 遗传粒子群算法

CLC Number: 

• TP301.6