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

共 50 条

[21] Integrated multi-objective robust optimization and sensitivity analysis with irreducible and reducible interval uncertainty
Li, M.
Azarm, S.
Williams, N.
Al Hashimi, S.
Almansoori, A.
Al Qasas, N.
ENGINEERING OPTIMIZATION, 2009, 41 (10) : 889 - 908
[22] Multi-objective optimisation of vehicle bodies made of FRP sandwich structures
Velea, Marian N.
Wennhage, Per
Zenkert, Dan
COMPOSITE STRUCTURES, 2014, 111 : 75 - 84
[23] Methods of Multi-objective Optimisation Design of Thin-walled Structures
Liu, Xiaoyang
Qu, Shuang
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ADVANCED DESIGN AND MANUFACTURING ENGINEERING, 2015, 39 : 1885 - 1890
[24] Evolutionary multi-objective design optimisation with real life uncertainty and constraints
Roy, R.
Azene, Y. T.
Farrugia, D.
Onisa, C.
Mehnen, J.
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2009, 58 (01) : 169 - 172
[25] Review of cost objective functions in multi-objective optimisation analysis of buildings
Auza, Anna
Asadi, Ehsan
Chenari, Behrang
da Silva, Manuel Gameiro
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 191
[26] Multi-objective design optimization using hybrid search algorithms with interval uncertainty for thin-walled structures
Xu, Xiang
Xu, Gaoxiang
Chen, Jiawei
Liu, Zhe
Chen, Xinbo
Zhang, Yong
Fang, Jianguang
Gao, Yunkai
THIN-WALLED STRUCTURES, 2022, 175
[27] An adaptive multi-objective particle swarm optimisation algorithm based on fitness distance to streamline repository
Wang, Suyu
Ma, Dengcheng
Ren, Ze
Qu, Yuanyuan
Wu, Miao
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2022, 20 (04) : 209 - 219
[28] Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems
Mala-Jetmarova, Helena
Barton, Andrew
Bagirov, Adil
JOURNAL OF HYDROINFORMATICS, 2015, 17 (06) : 891 - 916
[29] Evolutionary multi-objective optimisation: a survey
Nedjah, Nadia
Mourelle, Luiza de Macedo
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2015, 7 (01) : 1 - 25
[30] Bat algorithm for multi-objective optimisation
Yang, Xin-She
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2011, 3 (05) : 267 - 274

← 1 2 3 4 5 →