Robust design optimisation using multi-objective evolutionary algorithms

被引：37

作者：

Lee, D. S. ^{[1
]}

Gonzalez, L. F. ^{[3
]}

Periaux, J. ^{[2
]}

Srinivas, K. ^{[1
]}

机构：

[1] Univ Sydney, AMME, Sydney, NSW 2006, Australia

[2] UPC, CIMNE, Barcelona, Spain

[3] Queensland Univ Technol, Brisbane, Qld 4001, Australia

来源：

COMPUTERS & FLUIDS | 2008年 / 37卷 / 05期

关键词：

D O I：

10.1016/j.compfluid.2007.07.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a new robust design method is investigated with a hierarchical asynchronous parallel multi-objective evolutionary algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：565 / 583

页数：19