Vehicle routing problem (VRP) is a combinatorial optimization problem that has been studied intensively for years.Although VRP can be solved using an exact method for small instances,a more complex one will be impractical due to the nature of the problem as an NP-hard problem.A metaheuristic is more suitable to solve this kind of problem because the near-optimal solution can be found in a relatively shorter time compared to the exact algorithm.Bees Algorithm (BA) as nature-inspired metaheuristic is used to find a near-optimal solution of VRP-TSPLIB's datasets.This study aims to provide the results of BA on the standard dataset of VRP.The BA has a very good performance,with 3.9% of the average Best-Error and 1.2 million of the average evaluations to reach the solution.
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