Data analysis and visualisation for robust multi-criteria process optimisation

被引：21
|
作者：
Zilinskas, Antanas
Fraga, Eric S.
Mackute, Ausra
机构：
[1] UCL, Dept Chem Engn, Ctr Proc Syst Engn, London WC1E 7JE, England
[2] Inst Math & Informat, LT-08663 Vilnius, Lithuania
[3] Vytautas Magnus Univ, LT-44404 Kaunas, Lithuania
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2006年 / 30卷 / 6-7期
关键词：
nonlinear optimization; data analysis; visualisation; Pareto sets;
D O I：
10.1016/j.compchemeng.2006.02.003
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Process optimisation is often a multi-criteria problem. Combined with the use of nonlinear models, generating a Pareto front can be difficult to achieve reliably. This paper describes the use of high-dimensional data analysis and visualisation techniques as the basis for a multi-step procedure for generating a Pareto front for a two criteria problem. A case study in process design is used to illustrate the procedure. The results show that the use of data analysis and visualisation can help gain insight into the Pareto optimal solutions or confirm the insight the engineer already has. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1061 / 1071
页数：11
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