Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14509
Title: Robust optimization using a methodology based on cross entropy methods
Authors: Ho, SL 
Yang, S
Yao, Y
Fu, WN 
Keywords: Cross entropy method
Design optimization
Inverse problem
Robust solution
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2011, v. 47, no. 5, 5754706, p. 1286-1289 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: To address the performance degradations of optimal designs arising from uncertainties using traditional concepts and methodologies, a robust oriented cross entropy method is proposed. To efficiently compute the solutions with robust performances, the normal distribution function is used as the probability density function, and a methodology for evaluating and assigning robust performance to promising solutions is proposed. A statistical model is introduced for the constraint functions to enhance the quality of the final design. To find the global and robust optimal solutions simultaneously in a single run, the original objective rather than the robust performance parameters is used for selecting the elite solutions. Two examples are reported to validate the proposed algorithm.
URI: http://hdl.handle.net/10397/14509
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2010.2090865
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