Comparison of different MINLP methods applied on certain chemical engineering problems

Hans Skrifvars*, Iiro Harjunkoski, Tapio Westerlund, Zdravko Kravanja, Ray Pörn

*Corresponding author for this work

Research output: Contribution to journalReview ArticleScientificpeer-review

8 Citations (Scopus)


In this paper a comparison of some of the methods available for solving mixed integer non-linear programming (MINLP) problems is presented. Since some methods solve both a mixed integer linear programming (MILP) master problem and non-linear programming (NLP) subproblems during the iterations, while others only solve MILP master problems, a comparison of the computer resources needed for the optimization is presented. The methods are applied on a number of significant chemical engineering problems involving both MINLP problems (with a variety in the degree of discreteness and complexity) and some strict integer non-linear programming (INLP) problems. From the results, it is to be seen that a comparison of only the number of iterations needed in the optimization, doesn't allways measure the actual required resources of the optimization.

Original languageEnglish
JournalComputers and Chemical Engineering
Issue numberSUPPL.1
Publication statusPublished - 1996
MoE publication typeA2 Review article in a scientific journal


  • Design Optimization
  • INLP
  • Mathematical Programming
  • MILP
  • Optimization
  • Process Integration
  • Process Synthesis


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