IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-94-017-2494-4_9.html
   My bibliography  Save this book chapter

Use of Discretization and Solution History in Stochastic Optimization

In: Optimization and Inverse Problems in Electromagnetism

Author

Listed:
  • J. Lähteenmäki

    (Laboratory of Electromechanics, Helsinki University of Technology)

Abstract

A practical improvement for stochastic algorithms used with numerical models is proposed. Combined use of solution space discretization and solution history is implemented. Discretization gives the possibility to use a solution history where all the solutions evaluated are stored. Use of the solution history guarantees that a single solution candidate is calculated only once. This approach is useful for the stochastic algorithms that typically evaluate many solution candidates The approach is most useful in the cases where a stochastic algorithm decreases the search space during the optimization process. The improvement proposed was tested in optimization of high-speed induction motors modeled with 2D finite element analysis software. With a genetic optimization algorithm, the average time saving for seven separate optimization runs was 39%.

Suggested Citation

  • J. Lähteenmäki, 2003. "Use of Discretization and Solution History in Stochastic Optimization," Springer Books, in: Marek Rudnicki & Sławomir Wiak (ed.), Optimization and Inverse Problems in Electromagnetism, pages 79-84, Springer.
    • Handle: RePEc:spr:sprchp:978-94-017-2494-4_9
    DOI: 10.1007/978-94-017-2494-4_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-94-017-2494-4_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.