IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaor/9570410.html
   My bibliography  Save this article

Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

Author

Listed:
  • Leticia Cervantes
  • Oscar Castillo
  • Denisse Hidalgo
  • Ricardo Martinez-Soto

Abstract

We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation probability in a genetic algorithm. The performance of this method is presented with the benchmark problem of flight control and results show how it can decrease the error during the flight of an airplane using fuzzy logic for some parameters of the genetic algorithm. In this case of study, we use fuzzy systems for adapting two parameters of the genetic algorithm to improve the design of a type 2 fuzzy controller and enhance its performance to achieve flight control. Finally, a statistical test is presented to prove the performance enhancement in the application using fuzzy adaptation in the genetic algorithm. It is important to mention that not only is this idea for control problems but also it can be used in pattern recognition and many different problems.

Suggested Citation

  • Leticia Cervantes & Oscar Castillo & Denisse Hidalgo & Ricardo Martinez-Soto, 2018. "Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers," Advances in Operations Research, Hindawi, vol. 2018, pages 1-13, June.
    • Handle: RePEc:hin:jnlaor:9570410
    DOI: 10.1155/2018/9570410
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AOR/2018/9570410.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/AOR/2018/9570410.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/9570410?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
    ---><---

    Citations

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


    Cited by:

    1. Othman, Ahmed M., 2022. "Synergy of robust adaptive emulated- controller and enhanced mud layers optimization for microgrid dynamics improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).

    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:hin:jnlaor:9570410. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.