Interval multi-objective optimisation of structures using adaptive Kriging approximations

被引：71
|
作者：
Li, Fangyi [1 ]
Luo, Zhen [2 ]
Rong, Jianhua [1 ]
Zhang, Nong [2 ]
机构：
[1] Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Hunan, Peoples R China
[2] Univ Technol Sydney, Sch Elect Mech & Mechatron Syst, Sydney, NSW 2007, Australia
来源：
COMPUTERS & STRUCTURES | 2013年 / 119卷
基金：
中国国家自然科学基金;
关键词：
Multi-objective optimisation; Interval number programming; Uncertainty; Approximation model; ROBUST OPTIMIZATION; DESIGN; RELIABILITY; CRASHWORTHINESS; MODELS; UNCERTAINTY; PARAMETERS;
D O I：
10.1016/j.compstruc.2012.12.028
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper proposes an interval uncertain multi-objective optimisation (IUMOO) method for structures with uncertain-but-bounded parameters. An adaptive Kriging model is established to improve the computational efficiency and numerical accuracy in the approximation of design functions. Latin Hypercube Design (LHD) is applied to achieve a set of sampling points both in the design and uncertain spaces for calibrating the Kriging surrogate model. The interval number programming method is used to transform the uncertain optimisation into a corresponding deterministic multi-objective optimisation. Typical numerical examples are used to demonstrate the effectiveness of the proposed methodology. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：68 / 84
页数：17
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