Abstract
We introduce a new Integer Linear Programming (ILP) approach for solving Integer Programming (IP) problems with bilinear objectives and linear constraints. The approach relies on a series of ILP approximations of the bilinear IP. We compare this approach with standard linearization techniques on random instances and a set of real-world product bundling problems.
| Original language | English |
|---|---|
| Pages (from-to) | 74-77 |
| Number of pages | 4 |
| Journal | Operations Research Letters |
| Volume | 40 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 2012 |
Keywords
- Bilinear programming
- Integer linear programming
- Product bundling