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Container Shipping Network Optimisation Based on Steering Vector Search Pattern

Published online by Cambridge University Press:  28 September 2016

Yong Zhou ,
Wenyuan Wang ,
Xiangqun Song  and
Yun Peng
Yong Zhou
Affiliation:
(Faculty of Infrastructure Engineering, Dalian University of Technology, China)
Wenyuan Wang*
Affiliation:
(Faculty of Infrastructure Engineering, Dalian University of Technology, China) (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, China)
Xiangqun Song
Affiliation:
(Faculty of Infrastructure Engineering, Dalian University of Technology, China) (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, China)
Yun Peng
Affiliation:
(Faculty of Infrastructure Engineering, Dalian University of Technology, China)
*
(E-mail: [email protected])
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Abstract

Container shipping is one of the most important transport modes in international trade. For a large-scale container shipping network, an optimisation model is proposed to minimise the total shipping cost of container flow. Considering the directional property of the container shipping process, a steering vector search pattern is incorporated in a Max-Min Ant System (MMAS) solving algorithm, and an orthogonal array method is adopted in parameter settings. In numerical experiments, a traditional ant colony algorithm and an MMAS algorithm based on a steering vector search pattern are used respectively to optimise the network of five node scales. The results show that a steering vector search pattern can speed up the computation process and improve the optimisation effect.

Keywords

Container shippingNetwork optimisationSteering vectorMax-Min Ant System algorithm
Type
Research Article
Information
The Journal of Navigation , Volume 70 , Issue 2 , March 2017 , pp. 395 - 410
Copyright
Copyright © The Royal Institute of Navigation 2016 

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