Elsevier

Discrete Optimization

Volume 2, Issue 3, September 2005, Pages 219-228
Discrete Optimization

Simple lifted cover inequalities and hard knapsack problems

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Abstract

We consider a class of random knapsack instances described by Chvátal, who showed that with probability going to 1, such instances require an exponential number of branch-and-bound nodes. We show that even with the use of simple lifted cover inequalities, an exponential number of nodes is required with probability going to 1.

Keywords

Integer programming
Branch and bound
Average case
Cover inequality
Knapsack
Lifting

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