混合优化人工免疫网络用于过程动态优化

被引：9

作者：

林可鸿 ^{[1
,2
]}

贺益君 ^{[1
]}

陈德钊 ^{[1
]}

机构：

[1] 浙江大学化学工程与生物工程学系

[2] 台州学院医药化工学院

来源：

浙江大学学报(工学版) | 2008年 / 42卷 / 12期

关键词：

人工免疫系统; 优化人工免疫网络; 动态优化; 生物反应器;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

常见的用于求解过程动态优化的方法局部寻优能力强,易陷入局部点;而优化人工免疫网络虽局部寻优能力弱,但不易陷入局部点.针对这些方法的不足,提出了一种新的算法——混合优化人工免疫网络,将优化人工免疫网络植入局部寻优操作和二次响应机制,应用于Park-Ramirez和Lee-Ramirez生物反应器,此算法能以较少的计算代价搜索到最佳控制策略.将其用于模型参数发生变化的Lee-Ramirez生物反应器,实验结果表明,此算法的二次响应机制可以节省85%的评价次数.

引用

页码：2181 / 2186

页数：6

共 16 条

[1]

An evolutionary immune network for data clustering. L Nde Castro,and F J VZuben. IEEE Brazilian Symposium on Artifcial Neural Networks . 2000

[2]

Application areas of ais: The past, the present and the future. E. Hart,and J. Timmis. Proceedings of the 4th International Conference on Artificial Immune Systems (ICARIS 2005 ) . 2005

[3]

Advances in Artificial Immune Systems. Dipankar Dasgupta. IEEE Computational Intelligence Magazine . 2006

[4]

On the application of iterative dynamic programming to singular optimal control problems. Luus R. IEEE Transactions on Automatic Control . 1992

[5]

Dy-namic optimization of bioreactors:a review. BANGA J R,,BALSA-CANTO E,MOLES C G. Pro-ceedings of the Indian Academy of Sciences . 2003

[6]

Dynamic Optimization of Fed-Batch Bioreactors Using the Ant Algorithm. Jayaraman V K,Kulkarni B D,Gupta Kapil,Rajesh J,and Kusumaker H S. Biotechnology Progress . 2001

[7]

Artificial Immune Systems.. DASGUPTA D. http://ais.cs.memphis.edu/Books.aspx . 2007

[8]

Iterative ant-colony algorithm and its application to dynamic optimization of chemical process. Bing Zhang Dezhao Chen and Weixiang Zhao. Computers and Chemistry . 2005

[9]

ANNSA:A hybrid artificial neural network/simulated annealing algorithm for optimal control problems. Sarkar D,Modak J M. Chemical Engineering Science . 2003

[10]

＂Optimization of fed-batch bioreactors usinggenetic algorithms. D. Sarkar,J. Modak. ＂ Chemical Engineering Science . 2003

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