Applying bi-random MODM model to navigation coordinated scheduling: a case study of Three Gorges Project
The aim of this paper is to deal with the optimal navigation coordinated scheduling (NCS) problem in ship transportation of the Three Gorges Project in China, i.e. the Three Gorges Dam and the Gezhouba Dam. The NCS includes operational scheduling for two five-step locks in Three Gorges Dam and three single-step locks in Gezhouba Dam. A birandom multiple objective decision-making model (MODM) is first proposed for the NCS problem to cope with hybrid uncertain environment where twofold randomness exists in practice. Then, particle swarm optimization is applied to search for the optimal solution. Based on real execution data, the results generated by a computer validate effectiveness of the proposed model and algorithm in solving large-scale practical problems is presented.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/16484142
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Supplemental Notes:
- Abstract reprinted with permission from Taylor and Francis.
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Authors:
- Xu, Jiuping
- Zhang, Zhe
- Mookerjee, Vijay S
- Publication Date: 2013-6
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 140-157
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Serial:
- Transport
- Volume: 28
- Issue Number: 2
- Publisher: Vilnius Gediminas Technical University (VGTU) Press
- ISSN: 1648-4142
- EISSN: 1648-3480
- Serial URL: https://journals.vgtu.lt/index.php/Transport
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Algorithms; Case studies; Dams; Locks (Waterways); Mathematical models; Navigation; Optimization; Random variables; Schedules and scheduling; Shipping
- Identifier Terms: Three Gorges Project (China)
- Uncontrolled Terms: Multiple objective
- Subject Areas: Marine Transportation; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01488281
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 29 2013 1:39PM