基于遗传粒子群算法的DNA编码优化  

Optimization of DNA Coding Based on GA/PSO Algorithm

作　　者：许世明[1] 张强[1] 

机构地区：[1]大连大学辽宁省智能信息处理重点实验室,大连116622

出　　处：《计算机工程》2008年第1期218-220,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60403001;60533010;30740036)

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。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.

关 键 词：DNA编码 多目标优化 遗传粒子群算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]