IDEAS home Printed from https://ideas.repec.org/a/wly/apsmbi/v35y2019i5p1269-1281.html
   My bibliography  Save this article

An algorithm to solve a quantile optimization problem with loss function having a separable structure, and its application to an aerospace problem

Author

Listed:
  • S.V. Ivanov
  • A.I. Kibzun
  • A.S. Stepanova

Abstract

A quantile minimization problem with loss function having separable structure is considered. The distribution of the random parameters is assumed to be normal. To solve the problem, the confidence method and the sample average approximation method are used. Thus, the problem is reduced to a combinatorial one, which is solved by using the variable neighborhood search. The suggested algorithm is applied to optimization of runway area. Parameters of the runway are selected to minimize the area taking into account random wind speed.

Suggested Citation

  • S.V. Ivanov & A.I. Kibzun & A.S. Stepanova, 2019. "An algorithm to solve a quantile optimization problem with loss function having a separable structure, and its application to an aerospace problem," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(5), pages 1269-1281, September.
    • Handle: RePEc:wly:apsmbi:v:35:y:2019:i:5:p:1269-1281
    DOI: 10.1002/asmb.2475
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asmb.2475
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asmb.2475?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:wly:apsmbi:v:35:y:2019:i:5:p:1269-1281. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1526-4025 .

    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.