• DocumentCode
    269510
  • Title

    A competitive co-evolutionary algorithm for constrained robust design

  • Author

    Min Li ; Guimarães, Frederico ; Lowther, David A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • fYear
    2014
  • fDate
    March 31 2014-April 1 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A competitive co-evolutionary algorithm is proposed to solve constrained robust design problems. The method uses three populations, among which one population evolves the values of the design variables and the other two evolves the values of two uncertainty variables, accounting for the target and feasibility robustness respectively. An application to the robust design (minimization of torque ripples) of an interior permanent magnet (IPM) machine is presented.
  • Keywords
    design engineering; genetic algorithms; permanent magnet machines; IPM machine; competitive coevolutionary algorithm; constrained robust design; design variables; genetic algorithm; interior permanent magnet machine; uncertainty variables; Co-Evolutionary Algorithm; Constrained Optimization; Genetic Algorithm; Robust Design;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Computation in Electromagnetics (CEM 2014), 9th IET International Conference on
  • Conference_Location
    London
  • Electronic_ISBN
    978-1-84919-817-2
  • Type

    conf

  • DOI
    10.1049/cp.2014.0230
  • Filename
    6826859
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=269510