• DocumentCode
    2602206
  • Title

    Solving the Linear Variational Inequality by Interval Evolution Algorithm

  • Author

    Zhang, Ming ; Zhou, Yongquan

  • Author_Institution
    Sch. of Sci., Dalian Fisheries Univ., Dalian, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    82
  • Lastpage
    85
  • Abstract
    This paper presents a solution to linear variational inequality by interval evolution strategies based on the question that iterative algorithm of traditional numerical computer can not satisfy parallel in solving variational inequality. The numerical solution used to solve linear variational inequality with interval evolution strategies sufficiently exerted the advantage of evolution strategies such as group search and global convergence, and it satisfies the question of parallel solute the linear variational inequality in engineering technique. The numerical computation results indicate that the algorithm offers an effective way to solve linear variational inequality, high convergence rate, high accuracy and robustness.
  • Keywords
    convergence; evolutionary computation; iterative methods; search problems; variational techniques; engineering technique; global convergence; group search; interval evolution algorithm; iterative algorithm; linear variational inequality; Aquaculture; Computer science; Concurrent computing; Constraint optimization; Convergence of numerical methods; Design optimization; Iterative algorithms; Iterative methods; Robustness; Vectors; global convergence; interval evolution algorithm; parallel search; variational inequality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.226
  • Filename
    5168809