Uncommon Dantzig-Wolfe Reformulation for the Temporal Knapsack Problem

We study a natural generalization of the knapsack problem, in which each item exists only for a given time interval. One has to select a subset of the items (as in the classical case), guaranteeing that for each time instant the set of existing selected items has total weight not larger than the knapsack capacity. We focus on the exact solution of the problem, noting that prior to our work the best method was the straightforward application of a general-purpose solver to the natural ILP formulation. Our results indicate that much better results can be obtained by using the same general-purpose solver to tackle a nonstandard Dantzig-Wolfe reformulation in which subproblems are associated with groups of constraints. This is also interesting since the more natural Dantzig-Wolfe reformulation of single constraints performs extremely poorly in practice.