Probabilistic shortest path problems with budgetary constraints
Computers and Operations Research
Improving Discrete Model Representations via Symmetry Considerations
Management Science
Mathematical programming algorithms for reliable routing and robust evacuation problems
Mathematical programming algorithms for reliable routing and robust evacuation problems
Selected Topics in Column Generation
Operations Research
Branching in branch-and-price: a generic scheme
Mathematical Programming: Series A and B
An exact algorithm for IP column generation
Operations Research Letters
Edge disjoint paths with minimum delay subject to reliability constraint
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
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We examine a routing problem in which network arcs fail according to independent failure probabilities. The reliable h-path routing problem seeks to find a minimum-cost set of h 驴 2 arc-independent paths from a common origin to a common destination, such that the probability that at least one path remains operational is sufficiently large. For the formulation in which variables are used to represent the amount of flow on each arc, the reliability constraint induces a nonconvex feasible region, even when the integer variable restrictions are relaxed. Prior arc-based models and algorithms tailored for the case in which h = 2 do not extend well to the general h-path problem. Thus, we propose two alternative integer programming formulations for the h-path problem in which the variables correspond to origin-destination paths. Accordingly, we develop two branch-and-price-and-cut algorithms for solving these new formulations, and provide computational results to demonstrate the efficiency of these algorithms.