Research on the distribution problem of electric logistics vehicle based on quantum whale algorithm considering charging strategy
Yan Yue · Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences · 2023
With the continuous introduction of national carbon emission reduction policies, especially in the field of logistics and distribution, the use of electric vehicles can effectively reduce carbon emissions and the key factors are charging mode and time window constraints and the choice of charging piles, so this paper constructs an electric logistics vehicle distribution model that considers factors such as electric logistics vehicle charging mode and customer time window according to actual needs.In order to improve the problem that the traditional whale swarm algorithm has a low solution speed and is easy to fall into the local optimal solution, this paper uses the Grover quantum algorithm for quantum acceleration, and uses the variable neighborhood search algorithm to perform a variety of neighborhood searches, so that the algorithm can effectively jump out of the local optimal solution and obtain the global optimal solution.Finally, a study is used to verify the rationality of the model and the effectiveness of the algorithm.