IDEAS home Printed from https://ideas.repec.org/a/igg/jaec00/v7y2016i1p50-62.html
   My bibliography  Save this article

Parallel Multi-Criterion Genetic Algorithms: Review and Comprehensive Study

Author

Listed:
  • Bhabani Shankar Prasad Mishra

    (School of Computer Engineering, KIIT University, Bhubaneswar, India)

  • Subhashree Mishra

    (School of Electronics Engineering, KIIT University, Bhubaneswar, India)

  • Sudhansu Sekhar Singh

    (School of Electronics Engineering, KIIT University, India)

Abstract

The objective of this paper is to study the existing and current research on parallel multi-objective genetic algorithms (PMOGAs) through an intensive experiment. Many early efforts on parallelizing multi-objective genetic algorithms were introduced to reduce the processing time needed to reach an acceptable solution of them with various examples. Further, the authors tried to identify some of the issues that have not yet been studied systematically under the umbrella of parallel multi-objective genetic algorithms. Finally, some of the potential application of parallel multi objective genetic algorithm is discussed.

Suggested Citation

  • Bhabani Shankar Prasad Mishra & Subhashree Mishra & Sudhansu Sekhar Singh, 2016. "Parallel Multi-Criterion Genetic Algorithms: Review and Comprehensive Study," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 7(1), pages 50-62, January.
    • Handle: RePEc:igg:jaec00:v:7:y:2016:i:1:p:50-62
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEC.2016010104
    Download Restriction: no
    ---><---

    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:igg:jaec00:v:7:y:2016:i:1:p:50-62. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.