Computational Mechanics

, Volume 37, Issue 2, pp 131–141

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

Article

DOI: 10.1007/s00466-005-0684-3

Cite this article as:
Hirschen, K. & Schäfer, M. Comput Mech (2006) 37: 131. doi:10.1007/s00466-005-0684-3

Abstract

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 optimizationFlow field optimizationEvolutionary algorithmPareto set

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  1. 1.Department of Numerical Methods in Mechanical EngineeringDarmstadt University of TechnologyDarmstadtGermany