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 :
بازگشت