Strategy and framework for solving signal-based MIDO problems

R. H. Nyström*, I. Harjunkoski, R. Franke

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)451-456
Number of pages6
JournalComputer Aided Chemical Engineering
Issue numberC
Publication statusPublished - 2006
MoE publication typeA1 Journal article-refereed


  • dynamic optimization
  • Mixed-integer optimization
  • production optimization
  • scheduling


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