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

页码：68 / 84

页数：17

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