The Optimal Arrangement of Boats in a Coastal Maritime Passenger Lines System Using Graph Theory
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- Baozhen Yao & Bin Yu & Gang Chen & Rui Mu & Fang Zong, 2014. "Application of Discrete Mathematics in Urban Transportation System Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-2, June.
- Said El Noshokaty, 2021. "Shipping optimization systems (SOS) for tramp: stochastic cargo soft time windows," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-19, December.
- Barone, G. & Buonomano, A. & Forzano, C. & Palombo, A., 2021. "Implementing the dynamic simulation approach for the design and optimization of ships energy systems: Methodology and applicability to modern cruise ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
- Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Bunker consumption optimization methods in shipping: A critical review and extensions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 49-62.
- Li, Shuqin & Jia, Shuai, 2019. "The seaport traffic scheduling problem: Formulations and a column-row generation algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 158-184.
- Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
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Keywords
maritime passenger transport; optimization; long-term sustainability; propulsion energy consumption; ecology;All these keywords.
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