期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 123, 期 -, 页码 90-120出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2019.01.008
关键词
Hub location problem; Disruption; Congestion; Multi-objective optimization; Hybrid metaheuristics
Hub transportation networks are vulnerable to uncertainties such as natural disasters or terrorist attacks. We investigate the single-allocation p-hub location problems and the effect of uncertainties on deliveries. We introduce a bi-objective reliable capacitated p-hub location model considering hubs and links uncertainties to minimize both the total cost and the maximum transportation time. An efficient approximation approach is proposed to provide a lower bound for the optimal Pareto-frontier. We develop a new hybrid meta-heuristic algorithm to solve the model to near optimality. Our modelling and analysis of France transportation network shows that cost and delivery performance could be significantly improved.
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