Exploring the convex transformations for solving non-convex bilinear integer problems

Research output: Contribution to journalArticle

Researchers

Research units

  • Åbo Akademi University

Abstract

In the present paper some methods to transform a non-convex bilinear mixed-integer programming problem are considered in more detail. The methods have been applied in solving the trim-loss problem with MINLP methods and even if the transformations lead to a global optimal solution, there are some variable properties that affect the solution performance. The properties are explored by systematically solving a set of example problems with modified transformation techniques and analyzing the results.

Details

Original languageEnglish
JournalComputers and Chemical Engineering
Volume23
Issue numberSUPPL. 1
Publication statusPublished - 1 Jun 1999
MoE publication typeA1 Journal article-refereed

    Research areas

  • global optimal solutions, mixed-integer programming, transformation techniques, Trim-loss problems, variable property, integer programming

ID: 6323412