DocumentCode :
3281652
Title :
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization
Author :
Graening, L. ; Menzel, Stephan ; Ramsay, T. ; Sendhoff, Bernhard
Author_Institution :
Honda Res. Inst. Eur. GmbH, Offenbach, Germany
fYear :
2012
fDate :
25-28 Aug. 2012
Firstpage :
417
Lastpage :
420
Abstract :
The choice of the representation in evolutionary design optimization defines the flexibility and constraints of the search process. Finding an adequate representation is a pre-requisite for the success of an optimization but requires extensive knowledge about the design at hand. Based on the results of an automotive part design optimization, the authors provide evidence that an adaptation of the representation based on sensitivity information leads to new outperforming designs. for retrieving reliable sensitivity estimates a robust variant of the mutual information has been introduced. the robust sensitivity measure provides valuable information for the setup of an improved representation.
Keywords :
automotive components; design engineering; evolutionary computation; knowledge management; sensitivity analysis; automotive part design optimization; evolutionary design optimization; robust sensitivity measure; sensitivity analysis application; Computational fluid dynamics; Design optimization; Mutual information; Robustness; Sensitivity analysis; Automotive Design; Evolutionary Design Optimization; Knowledge Extraction; Sensitivity Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
Type :
conf
DOI :
10.1109/ICGEC.2012.64
Filename :
6457044
Link To Document :
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