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Hull Optimization Design for Minimum EEDI Based on DRO-MU
Hou, Yuanhang1; Sun Y(孙元)2
Department装备制造技术研究室
Conference Name2018 International Conference on Computational, Modeling, Simulation and Mathematical Statistics(CMSMS 2018)
Conference DateJune 24-25, 2018
Conference PlaceXi'an, China
Author of SourceAdvanced Science and Industry Research Center
Source PublicationProceedings of 2018 International Conference on Computational, Modeling, Simulation and Mathematical Statistics(CMSMS 2018)
PublisherDEStech Publications
Publication PlaceLancaster, USA
2018
Pages279-284
Contribution Rank2
ISSN2475-8841
ISBN978-1-60595-562-9
KeywordEEDI Ship hull optimization DRO-MU Speed fluctuations
AbstractEEDI(Energy Efficiency Design Index), which was a mandatory provision pointing at marine greenhouse gas emission, became a significant factor in ship hull form design. EEDI is closely related to the ship speed, which was used to be seen a determined value in conventional design stage. However, there are always fluctuations of speed in the actual sailing, so it's more reasonable to treat speed as a random variable, and from a long-term statistical point of view, the uncertainty of expectation and variance of the probability distribution should also be concerned. In order to solve the ship hull optimization problem for minimum EEDI with random variable, distributional robust optimization method under moment uncertainty is introduced in this research. Robust optimal model with NP-hard is transformed into a deterministic semi-definite programming one by Lagrange duality principle. Results verified the new method with fine rationality and superiority.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/23818
Collection智能产线与系统研究室
Corresponding AuthorHou, Yuanhang
Affiliation1.Dalian Maritime University, Dalian 116026, China
2.Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110000, China
Recommended Citation
GB/T 7714
Hou, Yuanhang,Sun Y. Hull Optimization Design for Minimum EEDI Based on DRO-MU[C]//Advanced Science and Industry Research Center. Lancaster, USA:DEStech Publications,2018:279-284.
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