Dynamic programming and strong bounds for the 0–1 knapsack problem

Dynamic programming and strong bounds for the 0–1 knapsack problem

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Article ID: iaor20002391
Country: United States
Volume: 45
Issue: 3
Start Page Number: 414
End Page Number: 424
Publication Date: Mar 1999
Journal: Management Science
Authors: , ,
Keywords: programming: branch and bound
Abstract:

Two new algorithms recently proved to outperform all previous methods for the exact solution of the 0–1 Knapsack Problem. This paper presents a combination of such approaches, where, in addition, valid inequalities are generated and surrogate relaxed, and a new initial core problem is adopted. The algorithm is able to solve all classical test instances, with up to 10,000 variables, in less than 0.2 seconds on an HP9000-735/99 computer. The C language implementation of the algorithm is available on the internet.

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