IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v36y2022i2-3-4p183-195.html
   My bibliography  Save this article

Intelligent colour matching method for industrial products based on firefly algorithm

Author

Listed:
  • Xiaocong Yan
  • Feng Liu

Abstract

In order to overcome the problem of long time consuming and low feasibility of producing colour scheme in traditional product colour matching method, this paper designs an intelligent colour matching method for industrial products based on firefly algorithm. Firstly, the colour cases of industrial products are obtained through the selection of colour matching samples, colour selection and fusion and colour case expression process. Then, based on the analysis of firefly algorithm update rules, the colour library of industrial products is established. Based on this, the coding mode and colour fitness of firefly algorithm are designed, and the intelligent colour matching of industrial products is completed by firefly individual brightness sorting and continuous iterative updating. The results show that in the experiment, the maximum time of the method to generate the colour scheme is 14.1 s, and the maximum F-measure value can reach 0.95, which proves that the method has high effectiveness.

Suggested Citation

  • Xiaocong Yan & Feng Liu, 2022. "Intelligent colour matching method for industrial products based on firefly algorithm," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 36(2/3/4), pages 183-195.
    • Handle: RePEc:ids:ijmtma:v:36:y:2022:i:2/3/4:p:183-195
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=123663
    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.

    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:ijmtma:v:36:y:2022:i:2/3/4:p:183-195. 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=21 .

    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.