Solution of the self-consistent field model for polymer adsorption by genetic algorithms

被引：12
|
作者：
Hanagandi, V
Ploehn, H
Nikolaou, M
机构：
[1] UNIV S CAROLINA,DEPT CHEM ENGN,SWEARINGEN ENGN CTR,COLUMBIA,SC 29208
[2] TEXAS A&M UNIV,DEPT CHEM ENGN,COLLEGE STN,TX 77843
来源：
CHEMICAL ENGINEERING SCIENCE | 1996年 / 51卷 / 07期
关键词：
D O I：
10.1016/0009-2509(95)00346-0
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
A Genetic Algorithm (GA) is used to solve the equations of the self-consistent field model for polymer adsorption on a surface. The solution is cast as an optimization problem and a GA is used as a function optimizer to solve this problem. Comparison is made with a traditional gradient-based approach. It was found that convergence properties will improve if the GA is cascaded with a gradient search method. This cascaded search method guarantees convergence from any random initial population of guesses and does not need insight into the physics of the problem.
引用
收藏
页码：1071 / 1078
页数：8
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