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
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;
Journal_Title :
Evolutionary Computation, IEEE Transactions on
DOI :
10.1109/TEVC.2010.2046666