Solving resource constrained shortest path problems with Branch-and-Cut
نویسندگان
چکیده
In the resource constrained shortest path problem (RCSPP) a shortest path satisfying additional resource bounds is sought. Each arc has a length and a resource usage vector specifying the requirements from each resource of a finite set of resources. The resource bounds limit the total usage along feasible paths for each resource type. In this paper we introduce new cutting planes, separation procedures, variable fixing methods, and a primal heuristic for solving RCSPP to optimality. We provide detailed computational experiments, and a comparison to cutting planes from the literature.
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