IDEAS home Printed from https://ideas.repec.org/a/hin/complx/2317860.html
   My bibliography  Save this article

A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes

Author

Listed:
  • Bin Xu
  • Xu Chen
  • Xiuhui Huang
  • Lili Tao

Abstract

Optimal control problems with multiple conflicting objectives in chemical processes are quite challenging. To solve such problems, we put forward a multistrategy-based multiobjective differential evolution, in which (1) a hybrid selection strategy is incorporated from the motivation of no single strategy outperforming all other ones in every stage; (2) a multipopulation strategy is applied to represent the main population and current optimum, and a cyclic crowding estimation is developed to maintain these optimum; and (3) a multimutation strategy is constructed to improve both exploration and exploitation ability. The effectiveness and efficiency of the proposed algorithm are validated by comparisons with some representative multiobjective evolutionary algorithms over 12 test instances. Moreover, the proposed algorithm is applied to solve 3 multiobjective optimal control problems in chemical processes. The obtained results indicate the efficiency and effectiveness of the proposed algorithm for solving multiobjective optimal control problems.

Suggested Citation

  • Bin Xu & Xu Chen & Xiuhui Huang & Lili Tao, 2018. "A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes," Complexity, Hindawi, vol. 2018, pages 1-22, September.
    • Handle: RePEc:hin:complx:2317860
    DOI: 10.1155/2018/2317860
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/2317860.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2018/2317860.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/2317860?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
    ---><---

    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:complx:2317860. 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.