Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering
Multi-Objective MTLBO Algorithm for Multimodal Transportation Scheme Selection
Authors: Ning Chen [email protected], Changchun Ou [email protected], and Qiaoran Zheng [email protected]Author Affiliations
Publication: ICTE 2019
ABSTRACT
It is the key issue to propose an optimized scheme for multimodal transportation operation. Here, firstly, the model of multimodal transportation plan is constructed. Then, the multi-objective teaching and learning optimization (MTLBO) algorithm is established to solve above model, which provides decision support for optimizing the multimodal transportation scheme. Furthermore, the feasibility and validity of the whole scheme design method are illustrated by an example. The Pareto solution set of the multi-objective multimodal transportation model is obtained by the scheme. Finally, the optimal solution for customers is put forward.
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ACKNOWLEDGEMENT
This research was supported by Study on Key Technology for New Era Railway Freight Transport Organization and Informatization (Project No.: 2018YJ103), China Academy of Railway Sciences Corporation Limited, the People’s Republic of China.
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Information & Authors
Information
Published In
ICTE 2019
Pages: 965 - 972
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
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Authors
Affiliations
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan Province 610031. E-mail: [email protected]
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan Province 610031 (corresponding author). E-mail: [email protected]
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan 610031 P.R. China. E-mail: [email protected]
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