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Multi-objective turbomachinery optimization using a gradient-enhanced multi-layer perceptron

Abstract:

Response surface models (RSMs) have found widespread use to reduce the overall computational cost of turbomachinery blading design optimization. Recent developments have seen the successful use of gradient information alongside sampled response values in building accurate response surfaces. This paper describes the use of gradients to enhance the performance of the RSM provided by a multi-layer perceptron. Gradient information is included in the perceptron by modifying the error function such...

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Publication status:
Published

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Publisher copy:
10.1002/fld.1967

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Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
Journal:
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
Volume:
61
Issue:
6
Pages:
591-605
Publication date:
2009-10-30
DOI:
EISSN:
1097-0363
ISSN:
0271-2091
URN:
uuid:7aa24d37-23a7-417c-93a2-d7745e13cf49
Source identifiers:
298421
Local pid:
pubs:298421

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