Calculation of penalties in algorithm of mixed integer programming solving with revised dual simplex method for bounded variables

Yi Ming Wei*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The branch-and-bound method with the revised dual simplex for bounded variables is very effective in solving relatively large-size integer linear programming problems. This paper, based on the general forms of the penalties by Beale and Small and the stronger penalties by Tomlin, describes the modifications of these penalties used for the method of bounded variables. The same examples from Petersen are taken and the satisfactory results are shown in comparison with those obtained by Tomlin.

Original languageEnglish
Pages (from-to)545-552
Number of pages8
JournalJournal of Computational Mathematics
Volume17
Issue number5
Publication statusPublished - Sept 1999
Externally publishedYes

Keywords

  • Penalties
  • Stronger penalties
  • The revised dual simplex method for bounded variables

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