A study on evolutionary multi-objective optimization for flow geometry design

被引：4
|
作者：
Hirschen, K [1 ]
Schäfer, M [1 ]
机构：
[1] Tech Univ Darmstadt, Dept Numer Methods Mech Engn, D-64287 Darmstadt, Germany
来源：
COMPUTATIONAL MECHANICS | 2006年 / 37卷 / 02期
关键词：
multiobjective optimization; flow field optimization; evolutionary algorithm; Pareto set;
D O I：
10.1007/s00466-005-0684-3
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, we investigate three recently proposed multi-objective optimization algorithms with respect to their application to a design-optimization task in fluid dynamics. The usual approach to render optimization problems is to accumulate multiple objectives into one objective by a linear combination and optimize the resulting single-objective problem. This has severe drawbacks such that full information about design alternatives will not become visible. The multi-objective optimization algorithms NSGA-II, SPEA2 and Femo are successfully applied to a demanding shape optimizing problem in fluid dynamics. The algorithm performance will be compared on the basis of the results obtained.
引用
收藏
页码：131 / 141
页数：11
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