• DocumentCode
    2615634
  • Title

    A population based incremental learning vector algorithm for multiobjective optimal designs

  • Author

    Ho, S.L. ; Yang, Shiyou

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2010
  • fDate
    9-12 May 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.
  • Keywords
    inverse problems; learning (artificial intelligence); optimisation; vectors; PBIL method; incremental learning vector algorithm; inverse problem; multiobjective optimal designs; population based incremental learning method; vector optimizer; Algorithm design and analysis; Design engineering; Design optimization; Educational institutions; Genetic algorithms; Genetic mutations; Inverse problems; Niobium; Optimization methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-7059-4
  • Type

    conf

  • DOI
    10.1109/CEFC.2010.5481850
  • Filename
    5481850
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2615634