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 |
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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