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

页码：451 / 456

页数：6

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