Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5110563 | Transportation Research Part E: Logistics and Transportation Review | 2016 | 19 Pages |
Abstract
This paper addresses the planning and optimization of intermodal hub-and-spoke (IH&S) network considering mixed uncertainties in both transportation cost and travel time. Different from previous studies, this paper develops a novel modeling framework for the IH&S network design problem to jointly minimize the expected value of total transportation costs and the maximum travel time requirement in term of critical value. A new hybrid methodology by combining fuzzy random simulation (FRS) technique and multi-start simulated annealing (MSA) algorithm is designed to solve the proposed model. Numerical experiments are implemented to verify the effectiveness of the proposed model and solution approach.
Related Topics
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Authors
Kai Yang, Lixing Yang, Ziyou Gao,