Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm

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Opis bibliograficzny
Wydane w:	Big Data and Cognitive Computing vol. 9, no. 4 (2025), p. 90
1. autor:	Zhao, Li
Kolejni autorzy:	Zhang, Hao, Zhang, Jinfeng, Wu, Bo
Wydane:	MDPI AG
Hasła przedmiotowe:	Integer programming Emissions control Fuel tanks Weather forecasting Operating costs Vessels Decision making Ships Pareto optimum Energy consumption Nonlinear programming Linings Methanol Dynamic programming Genetic algorithms Infrastructure Route optimization Carbon Sulfur content Dual fuel Optimization Mixed integer Alternative energy sources Cost control Emission standards Liquefied natural gas
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