| Article ID: | iaor19981400 |
| Country: | Netherlands |
| Volume: | 8 |
| Issue: | 3 |
| Start Page Number: | 263 |
| End Page Number: | 272 |
| Publication Date: | Nov 1997 |
| Journal: | Computational Optimization and Applications |
| Authors: | Zhu Nan, Broughan Kevin |
| Keywords: | computational analysis |
A necessary and sufficient condition for identification of dominated columns, which correspond to one type of redundant integer variables, in the matrix of a general Integer Programming problem, is derived. The given condition extends our recent work on eliminating dominated integer variables in Knapsack problems, and revises a recently published procedure for reducing the number of variables in general Integer Programming problems given in the literature. A report on computational experiments for one class of large scale Knapsack problems, illustrating the function of this approach, is included.