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

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Bibliografski detalji
Izdano u:	Big Data and Cognitive Computing vol. 9, no. 4 (2025), p. 90
Glavni autor:	Zhao, Li
Daljnji autori:	Zhang, Hao, Zhang, Jinfeng, Wu, Bo
Izdano:	MDPI AG
Teme:	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 pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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