Matheuristics for a Multi-attribute Profit Collecting Vehicle Routing Problem
نویسندگان
چکیده
This paper studies a multi-attribute profit collecting vehicle routing problem, which arises in the collection operations of a charity organisation in the UK. The problem involves a heterogeneous fleet consisting of vehicles of different capacities, mandatory visits to a subset of vertices, time windows, rest requirements associated with maximum driving and working times, and partial collection. A mixed integer programming formulation of the problem is provided, along with three matheuristics based on Tabu Search and Large Neighbourhood Search. Computational results on instances derived from a case study are presented, as well as the results of the real-world implementation.
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