The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles. Proposed by Dantzig and Ramser in 1959,[1] VRP is an important problem in the fields of transportation, distribution, and logistics. Often, the context is that of delivering goods located at a central depot to customers who have placed orders for such goods. The objective of the VRP is to minimize the total route cost.
Determining the optimal solution is an NP-hard[clarification needed] problem in combinatorial optimization, so in practice, heuristic and deterministic methods have been developed that find acceptably good solutions for the VRP.
The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles. Proposed by Dantzig and Ramser in 1959,[1] VRP is an important problem in the fields of transportation, distribution, and logistics. Often, the context is that of delivering goods located at a central depot to customers who have placed orders for such goods. The objective of the VRP is to minimize the total route cost.Determining the optimal solution is an NP-hard[clarification needed] problem in combinatorial optimization, so in practice, heuristic and deterministic methods have been developed that find acceptably good solutions for the VRP.
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