Strategy and framework for solving signal-based MIDO problems

被引：0
|
作者：
Nystroem, R. H. [1 ]
Harjunkoski, I. [1 ]
Franke, R. [2 ]
机构：
[1] ABB Corp Res, Wallstadter Str 59, D-68526 Ladenburg, Germany
[2] ABB AG, D-68309 Mannheim, Germany
来源：
16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷
关键词：
Mixed-integer optimization; dynamic optimization; scheduling; production optimization;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A strategy for solving mixed-integer dynamic optimization (MIDO) problems is presented. Special emphasis is on problems, where auxiliary time-dependent variables enter the model as inputs. These auxiliary variables are based on the binary variables that are used to formulate the problem through a linear transformation. The solution of such MIDO problems using a dynamic optimizer is also discussed.
引用
收藏
页码：451 / 456
页数：6
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