IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v8y2011i1p83-103.html
   My bibliography  Save this article

Implementation of data envelopment analysis–genetic algorithm for improved performance assessment of transmission units in power industry

Author

Listed:
  • Ali Azadeh
  • Sayed Mohammad Asadzadeh
  • Somayeh Ahmadi Movaghar

Abstract

This paper introduces a hybrid approach based on data envelopment analysis (DEA) and genetic algorithm (GA) for efficiency assessment and optimisation of electricity transmission units. The optimisation procedure in this paper is followed from two different viewpoints, that is, input efficiency and input cost. The result of DEA model is verified and validated by GA through Spearman correlation experiment. Moreover, the proposed approach uses the measure specific super-efficiency DEA model for sensitivity analysis to determine the critical inputs based on efficiency and cost allocation super-efficiency DEA model to determine the critical inputs based on cost. The unique feature of this study is utilisation of GA and DEA for assessment and optimisation of critical inputs from two different viewpoints: efficiency and cost. This is the first study that introduces a hybrid GA–DEA approach for performance assessment and optimisation of electricity transmission units. The superiority of the hybrid approach is shown for 32 transmission units.

Suggested Citation

  • Ali Azadeh & Sayed Mohammad Asadzadeh & Somayeh Ahmadi Movaghar, 2011. "Implementation of data envelopment analysis–genetic algorithm for improved performance assessment of transmission units in power industry," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 8(1), pages 83-103.
  • Handle: RePEc:ids:ijisen:v:8:y:2011:i:1:p:83-103
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=40767
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S. Mohammad Arabzad & Mazaher Ghorbani & Arash Shahin, 2013. "Ranking players by DEA the case of English Premier League," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 15(4), pages 443-461.
    2. Reza Sanei & Farhad Hosseinzadeh lotfi & Mohammad Fallah & Farzad Movahedi Sobhani, 2022. "An Estimation of an Acceptable Efficiency Frontier Having an Optimum Resource Management Approach, with a Combination of the DEA-ANN-GA Technique (A Case Study of Branches of an Insurance Company)," Mathematics, MDPI, vol. 10(23), pages 1-21, November.

    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:ids:ijisen:v:8:y:2011:i:1:p:83-103. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.