高效优化算法在船舶力学中的应用研究(英文) 被引量：2

Application of Efficient Global Optimization in Ship Mechanics

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摘要作为一种贝叶斯优化算法,高效全局优化算法(EGO)利用克里格模型来构造近似模型,并采用样本填充准则以寻找下一个样本点来更新近似模型。文中详细介绍了该优化算法,并将其应用于船舶力学的两个典型优化例子。其中一个是潜艇的多学科概念设计,考虑了水动力、推进、重量、性能和成本5个学科;另外一个是屈曲状态下加筋板的优化问题。与传统优化相比,高效全局优化算法不仅收敛到全局最优解,而且更加有效。结果表明高效优化算法非常适用于船舶力学中的优化问题。 Efficient Global Optimization （EGO）, one Bayesian analysis optimization algorithm, makes use of Kriging model to construct statistical approximation model and uses infill sampling criteria （ISC） to find the next sampling point updating the model. This method is discussed in detail and applied in ship mechanics with two traditional optimization examples.One is a submarine conceptual multidisciplinary design, which considers hydrodynamics, propulsion,weight and volume, performance, and cost. It is a mixed-variable optimization problem defined by 8 real design variables,3 integer design variables and 12 constraints.The other is stiffened panel optimization under buckling.Compared with traditional methods, EGO not only finds the global optimal point, but also completes the optimization more efficiently. The results demonstrate that EGO is very suitable for optimization in ship mechanics.

作者赵敏操安喜苟鹏崔维成

机构地区上海交通大学海洋工程国家重点实验室中国船舶科学研究中心

出处《船舶力学》 EI 北大核心 2008年第3期473-482,共10页 Journal of Ship Mechanics

关键词高效全局优化算法(EGO) 船舶力学克里格模型样本填充准则(ISC) Efficient Global Optimization （EGO） ship mechanics Kriging model infill sampling criteria （ISC）

分类号 U662 [交通运输工程—船舶及航道工程]

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1操安喜,赵敏,刘蔚,崔维成.多学科设计优化方法在潜艇概念设计中的应用研究(英文)[J].船舶力学,2007,11(3):373-382. 被引量：13

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