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

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Библиографические подробности
Опубликовано в::	Big Data and Cognitive Computing vol. 9, no. 4 (2025), p. 90
Главный автор:	Zhao, Li
Другие авторы:	Zhang, Hao, Zhang, Jinfeng, Wu, Bo
Опубликовано:	MDPI AG
Предметы:	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
Online-ссылка:	Citation/Abstract Full Text + Graphics Full Text - PDF
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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