Comparison of different MINLP methods applied on certain chemical engineering problems

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

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliReview ArticleScientificvertaisarvioitu

8 Sitaatiot (Scopus)

Abstrakti

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.

AlkuperäiskieliEnglanti
JulkaisuComputers and Chemical Engineering
Vuosikerta20
NumeroSUPPL.1
TilaJulkaistu - 1996
OKM-julkaisutyyppiA2 Arvio tiedejulkaisuussa (artikkeli)

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