IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v190y2011i1p375-38710.1007-s10479-008-0503-2.html
   My bibliography  Save this article

P2q hierarchical decomposition algorithm for quantile optimization: application to irrigation strategies design

Author

Listed:
  • O. Crespo
  • J. Bergez
  • F. Garcia

Abstract

Decision theory dealing with uncertainty is usually considering criteria such as expected, minimum or maximum values. In economic areas, the quantile criterion is commonly used and provides significant advantages. This paper gives interest to the quantile optimization in decision making for designing irrigation strategies. We developed P2q, a hierarchical decomposition algorithm which belongs to the branching methods family. It consists in repeating the creation, evaluation and selection of smaller promising regions. Opposite to common approaches, the main criterion of interest is the α-quantile where α is related to the decision maker risk acceptance. Results of an eight parameters optimization problem are presented. Quantile optimization provided optimal irrigation strategies that differed from thus reached with expected value optimization, responding more accurately to the decision maker preferences. Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • O. Crespo & J. Bergez & F. Garcia, 2011. "P2q hierarchical decomposition algorithm for quantile optimization: application to irrigation strategies design," Annals of Operations Research, Springer, vol. 190(1), pages 375-387, October.
    • Handle: RePEc:spr:annopr:v:190:y:2011:i:1:p:375-387:10.1007/s10479-008-0503-2
    DOI: 10.1007/s10479-008-0503-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-008-0503-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-008-0503-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bergez, J. -E. & Garcia, F. & Lapasse, L., 2004. "A hierarchical partitioning method for optimizing irrigation strategies," Agricultural Systems, Elsevier, vol. 80(3), pages 235-253, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jackson, T.M. & Hanjra, Munir A. & Khan, S. & Hafeez, M.M., 2011. "Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture," Agricultural Systems, Elsevier, vol. 104(9), pages 729-745.
    2. Senthilkumar, Kalimuthu & Bergez, Jacques-Eric & Leenhardt, Delphine, 2015. "Can farmers use maize earliness choice and sowing dates to cope with future water scarcity? A modelling approach applied to south-western France," Agricultural Water Management, Elsevier, vol. 152(C), pages 125-134.
    3. Rodrigues, Gonçalo C. & Paredes, Paula & Gonçalves, José M. & Alves, Isabel & Pereira, Luis S., 2013. "Comparing sprinkler and drip irrigation systems for full and deficit irrigated maize using multicriteria analysis and simulation modelling: Ranking for water saving vs. farm economic returns," Agricultural Water Management, Elsevier, vol. 126(C), pages 85-96.
    4. De Nys, Erwin & Le Gal, Pierre-Yves & Raes, Dirk & Ana, Eliseo, 2008. "WaDI (water delivery for irrigation): A simulation tool to address strategic interaction of water demand and supply in irrigation schemes," Agricultural Water Management, Elsevier, vol. 95(3), pages 224-232, March.
    5. Belhouchette, Hatem & Wery, Jacques & Therond, Olivier & Duru, Michel & Bigot, Genevieve & Was, Adam & Kloczko-Gajewska, Anna & Leenhardt, Delphine & Majewski, Edward & Josien, Etienne & Bergez, Jacqu, 2006. "The major characteristics of environmental policies and agro-ecological technologies to be studied in Test case 2," Reports 57464, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    6. Marius Drechsler & Andreas Holzapfel, 2022. "Decision Support in Horticultural Supply Chains: A Planning Problem Framework for Small and Medium-Sized Enterprises," Agriculture, MDPI, vol. 12(11), pages 1-25, November.
    7. Merot, A. & Bergez, J.-E. & Capillon, A. & Wery, J., 2008. "Analysing farming practices to develop a numerical, operational model of farmers' decision-making processes: An irrigated hay cropping system in France," Agricultural Systems, Elsevier, vol. 98(2), pages 108-118, September.

    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:annopr:v:190:y:2011:i:1:p:375-387:10.1007/s10479-008-0503-2. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.