Modeling rich and dynamic vehicle routing problems in heuristiclab

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Transport is one of the largest emission driving forces and has many economic and social impacts. Thus it is crucial to model and optimize practical transportation problems. In this paper we present a flexible modeling and optimization framework integrated in the open source environment HeuristicLab. We show, how rich and dynamic vehicle routing problem variants can be integrated in our framework. Using this model, we perform an algorithmic study where we compare several heuristic and metaheuristic algorithms for the dynamic pickup and delivery problem with time windows. Keywords: dynamic vehicle routing problem, simulation, optimization.


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