Dynamic programming revisited: improving knapsack algorithms
Computing - Special issue on combinatorial optimization
Dynamic Programming and Strong Bounds for the 0-1 Knapsack Problem
Management Science
Operations Research
Where are the hard knapsack problems?
Computers and Operations Research
Recoverable robust knapsacks: Γ-scenarios
INOC'11 Proceedings of the 5th international conference on Network optimization
Theory and Applications of Robust Optimization
SIAM Review
A robust approach to the chance-constrained knapsack problem
Operations Research Letters
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We consider an uncertain variant of the knapsack problem in which the weight of the items is not exactly known in advance, but belongs to a given interval, and an upper bound is imposed on the number of items whose weight differs from the expected one. For this problem, we provide a dynamic programming algorithm and present techniques aimed at reducing its space and time complexities. Finally, we computationally compare the performances of the proposed algorithm with those of different exact algorithms presented so far in the literature for robust optimization problems.