IDEAS home Printed from https://ideas.repec.org/a/gam/jresou/v13y2024i11p157-d1516436.html
   My bibliography  Save this article

Multiobjective Optimisation of Flotation Variables Using Controlled-NSGA-II and Paretosearch

Author

Listed:
  • Bismark Amankwaa-Kyeremeh

    (Future Industries Institute, University of South Australia, Mawson Lakes, Adelaide, SA 5095, Australia)

  • Conor McCamley

    (Syrah Resources, Melbourne, VIC 3000, Australia)

  • Kathy Ehrig

    (BHP Olympic Dam, Adelaide, SA 5000, Australia)

  • Richmond K. Asamoah

    (Future Industries Institute, University of South Australia, Mawson Lakes, Adelaide, SA 5095, Australia)

Abstract

Finding the optimum operating points for the maximisation of flotation recovery and concentrate grade can be a very difficult task, owing to the inverse relationship that exists between these two key performance indicators. For this reason, techniques that can accurately find the trade-off are critical for flotation process optimisation. This work extracted well-assessed Gaussian process predictive functions as objective functions for a comparative multiobjective optimisation study using the paretosearch algorithm (PA) and the controlled elitist non-dominated sorting genetic algorithm (controlled-NSGA-II). The main aim was the concomitant maximisation of the copper recovery and the concentrate grade. Comparison of the two applied techniques revealed that the PA discovered the best set of the pareto-optimal solution for both the recovery (93.4%) and concentrate-grade (17.4 wt.%) maximisation.

Suggested Citation

  • Bismark Amankwaa-Kyeremeh & Conor McCamley & Kathy Ehrig & Richmond K. Asamoah, 2024. "Multiobjective Optimisation of Flotation Variables Using Controlled-NSGA-II and Paretosearch," Resources, MDPI, vol. 13(11), pages 1-16, November.
    • Handle: RePEc:gam:jresou:v:13:y:2024:i:11:p:157-:d:1516436
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2079-9276/13/11/157/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2079-9276/13/11/157/
    Download Restriction: no
    ---><---

    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:gam:jresou:v:13:y:2024:i:11:p:157-:d:1516436. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.