Multiobjective Optimization of the Performance and Emissions of a Large Low-Speed Dual-Fuel Marine Engine Based on MNLR-MOPSO

Multiobjective Optimization of the Performance and Emissions of a Large Low-Speed Dual-Fuel Marine Engine Based on MNLR-MOPSO

With increasingly strict emission regulations and growing environmental concerns, it is urgent to improve engine performance and reduce emissions. In this paper, multivariate nonlinear regression (MNLR) combined with multiobjective particle swarm optimization (MOPSO) was implemented to optimize the...

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Autores principales: Yujin Cong, Huibing Gan, Huaiyu Wang, Guotong Hu, Yi Liu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
dual-fuel engine
performance and emission optimization
multiobjective particle swarm optimization
multivariate nonlinear regression
Naval architecture. Shipbuilding. Marine engineering
VM1-989
Oceanography
GC1-1581
Acceso en línea:https://doaj.org/article/cc2c2d71720246ee8347a32ea96b9393
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https://doaj.org/article/cc2c2d71720246ee8347a32ea96b9393

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