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Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:重庆交通大学学报 自然科学版

Volume:37

Issue:1

Page Number:109-115

ISSN No.:1674-0696

Abstract:With the developing trend of larger container ships,hub-and-spoke container shipping network was established by more and more liner shipping companies to improve the service efficiency and reduce the unit operation cost.Therefore,a non-linear hub-and-spoke container shipping network optimization model considering the port throughput capacity was proposed.The purpose of the proposed model was to minimize the total cost of container shipping network.Then,a hybrid optimization algorithm combining Q-learning method with chaos optimization algorithm was used to solve the problem of reasonable container shipping route and suitable ship deployment.A case study was carried out to assess the effectiveness of the proposed model.The results show that the hybrid optimization algorithm can efficiently solve the problem of container shipping route optimization and ship deployment.Besides,comparing with the direct transportation,the transportation cost of the hub-and-spoke network can be reduced by 10％.

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