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Chance-Constrained Binary Packing Problems
2014
INFORMS journal on computing
We consider a class of packing problems with uncertain data, which we refer to as the chance-constrained binary packing problem. In this problem, a subset of items is selected that maximizes the total profit so that a generic packing constraint is satisfied with high probability. Interesting special cases of our problem include chance-constrained knapsack and set packing problems with random coefficients. We propose a problem formulation in its original space based on the so-called
doi:10.1287/ijoc.2014.0595
fatcat:sugbkswexzeh3kcijyrimk3x4u