Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Improved Approximation Algorithms for Resource Allocation
Proceedings of the 9th International IPCO Conference on Integer Programming and Combinatorial Optimization
Branch-And-Price: Column Generation for Solving Huge Integer Programs
Operations Research
A Survey of Optimization Models for Train Routing and Scheduling
Transportation Science
Optimizing the Cargo Express Service of Swiss Federal Railways
Transportation Science
Partial convexification of general MIPs by Dantzig-Wolfe reformulation
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
Uncommon Dantzig-Wolfe Reformulation for the Temporal Knapsack Problem
INFORMS Journal on Computing
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We study the problem of designing a set of highly profitable freight routes in a railway corridor, taking into account the level of service requested by different goods; in particular, the profit achieved by transporting a good is a nonlinear function of the associated travel time. We propose an ILP model that is solved heuristically by column generation and fixing techniques. Computational results on a real corridor crossing 11 European countries are reported, showing that we can find solutions that are provably close to optimal. Given the large size of our instances, a key issue of our approach is to avoid finding an optimal solution of the continuous relaxation of our model, stopping as soon as near-optimal primal and dual solutions are available.