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Model and Algorithm for Container Allocation Problem with Random Freight Demands in Synchromodal Transportation
Joint Authors
Cao, Chengxuan
Xu, Yan
Zang, Guangzhi
Jia, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper aims to investigate container allocation problem with random freight demands in synchromodal transportation network from container carriers’ perspective.
Firstly, the problem is formulated as a stochastic integer programming model where the overall objective is to determine a container capacity allocation plan at operational level, so that the expected total transportation profit is maximized.
Furthermore, by integrating simulated annealing with genetic algorithm, a problem-oriented hybrid algorithm with a novel gene encode method is designed to solve the optimization model.
Some numerical experiments are carried out to demonstrate the effectiveness and efficiency of the proposed model and algorithm.
American Psychological Association (APA)
Xu, Yan& Cao, Chengxuan& Jia, Bin& Zang, Guangzhi. 2015. Model and Algorithm for Container Allocation Problem with Random Freight Demands in Synchromodal Transportation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1075262
Modern Language Association (MLA)
Xu, Yan…[et al.]. Model and Algorithm for Container Allocation Problem with Random Freight Demands in Synchromodal Transportation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1075262
American Medical Association (AMA)
Xu, Yan& Cao, Chengxuan& Jia, Bin& Zang, Guangzhi. Model and Algorithm for Container Allocation Problem with Random Freight Demands in Synchromodal Transportation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1075262
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075262