DocumentCode
1521117
Title
An Evolutionary Computing Approach to Robust Design in the Presence of Uncertainties
Author
Chan, Ricky R. ; Sudhoff, Scott D.
Author_Institution
Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
14
Issue
6
fYear
2010
Firstpage
900
Lastpage
912
Abstract
This paper sets forth a new approach to robust evolutionary computing. In particular, the proposed approach allows users to specify the probability of success in meeting design specifications in the presence of uncertainties. Three benchmark problems have been considered to demonstrate the proposed approach. In addition, a robust electromagnet design example is also considered. The results illustrate quantitative correspondence between the prescribed and the computed robustness.
Keywords
control nonlinearities; electromagnets; genetic algorithms; probability; robust control; uncertain systems; design specification; evolutionary computing approach; robust electromagnet design; success probability; uncertainty problem; Design optimization; Electromagnets; Evolutionary computation; Function approximation; Genetic algorithms; Particle swarm optimization; Prototypes; Robustness; Sampling methods; Uncertainty; Evolutionary computing; genetic algorithms; robustness; uncertainty;
fLanguage
English
Journal_Title
Evolutionary Computation, IEEE Transactions on
Publisher
ieee
ISSN
1089-778X
Type
jour
DOI
10.1109/TEVC.2010.2046666
Filename
5491151
Link To Document