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非线性模拟移动床色谱的浮点编码遗传算法优化策略
引用本文:蔡宇杰,丁彦蕊,石贵阳,张大兵,须文波.非线性模拟移动床色谱的浮点编码遗传算法优化策略[J].计算机与应用化学,2004,21(6):865-868.
作者姓名:蔡宇杰  丁彦蕊  石贵阳  张大兵  须文波
作者单位:1. 江南大学工业生物技术教育部重点实验室,江苏,无锡,214036
2. 江南大学生物工程学院,江苏,无锡,214036
3. 江苏汉邦科技有限公司,江苏,淮安,223001
4. 江南大学信息学院,江苏,无锡,214036
摘    要:开发了一种基于浮点编码遗传算法的模拟移动床色谱自动优化系统。该优化方法中将归一化的生产强度取最大值作为目标函数,同时将纯度的n次方作为罚函数。采用模拟移动床色谱的稳态模型计算浮点编码遗传算法的适度值。采用该优化算法对手性化合物binapththol的模拟移动床分离操作条件进行了优化,结果表明生产强度提高了40%以上。

关 键 词:模拟移动床色谱  遗传算法  浮点编码  优化
文章编号:1001-4160(2004)06-865-868

Optimization of nonline simulated moving bed chromatography with real coded genetic algorithms
CAI YuJie,DING YanRui,SHI GuiYang,ZHANG DaBing,Xu Wenbo.Optimization of nonline simulated moving bed chromatography with real coded genetic algorithms[J].Computers and Applied Chemistry,2004,21(6):865-868.
Authors:CAI YuJie  DING YanRui  SHI GuiYang  ZHANG DaBing  Xu Wenbo
Affiliation:CAI YuJie~1 DING YanRui~2 SHI GuiYang~2 ZHANG DaBing~3 and XU WenBo~4
Abstract:A strategy based on real coded genetic algorithms was developed to optimize the operation condition of nonline simulatedmoving bed chromatography.The optimization algorithm objection function was the normalized production intensity.In addition,the nexponent of purity was used as penalty function.The real coded genetic algorithm's fitness was calculated with simulated moving bedchromatography steady modal.The simulated moving bed chromatography operation condition of binapththol enantiomers was optimizedwith the algorithms.It was found that the production intensity was improved about 40%.
Keywords:simulated moving bed chromatography  genetic algorithm  real coded  optimization
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