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

delete2005-04-14
delete5
PRE
AI
K
K. Hirschen
M
Michael Schäfer
DOI：10.1007/s00466-005-0684-3delete
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Abstract

Abstract

En 中文
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.
Keywords:
multiobjective optimization
flow field optimization
evolutionary algorithm
Pareto set

Journal

Computational Mechanics cover
Computational Mechanics
IF:
3.8
Papers:
3.2K
Citations:
9.0K

Organization

No organization information available