An evolutionary Lagrange method for batch process optimal design

被引：0
|
作者：
Lin Y.-C. [2 ]
Lin Y.-C. [2 ]
Chang W.-C. [2 ]
Su K.-L. [1 ]
机构：
[1] Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, 123, University Rd.
[2] Department of Electrical Engineering, WuFeng University, Minhsiung, Chiayi County 62153, 117, Chiankuo Rd.
来源：
International Journal of Innovative Computing and Applications | 2011年 / 3卷 / 02期
关键词：
Batch process; Evolutionary algorithm; Lagrange method; Mixed-integer non-linear programming;
D O I：
10.1504/IJICA.2011.039592
中图分类号：
学科分类号：
摘要：
The optimal design of the multiproduct batch processes is one of the most important decision-making problems in the manufacturing industry. This decision-making problem can be formulated as a mixed-integer non-linear programming (MINLP) problem. In this paper, we propose an evolutionary Lagrange method to deal with such an MINLP problem. The computational results demonstrate the effectiveness of the algorithm in solving the optimal design problem of the multiproduct batch processes. Copyright © 2011 Inderscience Enterprises Ltd.
引用
收藏
页码：88 / 96
页数：8
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