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

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Pubblicato in:	Big Data and Cognitive Computing vol. 9, no. 4 (2025), p. 90
Autore principale:	Zhao, Li
Altri autori:	Zhang, Hao, Zhang, Jinfeng, Wu, Bo
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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