• 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