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一类自适应范围DNA软计算模型 被引量:2

Adaptive range deoxyribonucleic acid soft computing model
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摘要 提出了自适应范围DNA(ARDNA)软计算模型框架 ,并着重论述了设计变量统计特性自适应调整策略和自适应范围DNA解码方法及其简化计算公式 .ARDNA克服了传统DNA计算中设计变量编码长度和计算精度之间的矛盾 ,通过有限长的DNA编码实现预定的计算精度 .函数优化应用实例说明ARDNA对设计变量的取值范围无需先验知识 。 A framework of an adaptive range deoxyribonucleci acid(ARDNA) soft computing model was proposed.(ARDNA) distributed design candidates according to the normal distribution of design variables in the present population.The adaptive adjusting strategy for statistic characteristics of design variables,and ARDNA decoding method and its approximately (realized) technology were given.ARDNA resolved the contradiction between the length of DNA string and computing precision.Finally,it was applied to minimization of the multi-modal function.The simulation results demonstrate that it doesnot need the prior knowledge for the range of design variables and it has the strong capability of searching globally.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2004年第6期989-992,共4页 Control Theory & Applications
基金 国家自然科学基金项目 (60 2 740 3 1) 上海市科委纳米专项基金项目 (0 2 14nm0 90 )
关键词 自适应范围DNA软计算 编码 解码 adaptive range DNA soft computing encoding decoding
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  • 1GARZON M H,DEATON R J.Biomolecular computing and programming [J]. IEEE Trans on Evolutionary Computation, 1999,3(3):236-250.
  • 2ADLEMAN L M.Molecular computation of solutions to combinatorial problems [J]. Science, 1994,266(5187):1021-1023.
  • 3OYAMA Akira,OBAYASHI Shigeru,NAKHASHI Kazuhiro.Real-coded adaptive range genetic algorithm and its application to aerodynamic design [J]. Int J of Japan Society of Mechanical Engineers(JSME), Series A,2000,43(2):124-129.
  • 4丁永生,任立红,邵世煌.DNA计算与软计算[J].系统仿真学报,2001,13(z1):198-201. 被引量:7

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