Complexity Results and Exact Algorithms for Robust Knapsack Problems

This paper studies the robust knapsack problem, for which solutions are, up to a certain point, immune to data uncertainty. We complement the works found in the literature where uncertainty affects only the profits or only the weights of the items by studying the complexity and approximation of the general setting with uncertainty regarding both the profits and the weights, for three different objective functions. Furthermore, we develop a scenario-relaxation algorithm for solving the general problem and present computational results

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Year of publication:	2011
Authors:	Nobibon, F. Talla
Other Persons:	Leus, R. (contributor)
Publisher:	[2011]: [S.l.] : SSRN
Subject:	Algorithmus \| Algorithm \| Theorie \| Theory \| Mathematische Optimierung \| Mathematical programming \| Ganzzahlige Optimierung \| Integer programming

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