IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v39y2021i3p394-410.html
   My bibliography  Save this article

Adaptive surrogate modelling algorithm for meta-model-based design optimisation

Author

Listed:
  • M.N.P. Meibody
  • H. Naseh
  • F. Ommi

Abstract

In this paper, an adaptive meta-modelling algorithm is proposed for complex systems surrogate modelling. Progressive Latin hypercube sampling (PLHS) has been developed as the design of experiments (DOE) method for meta-modelling. In this DOE, the number of samples increases in an iterative process until the meta-modelling accuracy converges. To evaluate the effects of design parameters on the system response, sensitivity analysis has been performed. Particle swarm optimisation (PSO) algorithm is applied as the optimiser. The proposed methodology reduces the computational costs of the design optimisation process. The PLHS-based surrogate modelling is applied to the design of a space thruster nozzle as a case study. In this case, propulsion efficiency and mass (key factors of space propulsion systems) are considered as objective functions.

Suggested Citation

  • M.N.P. Meibody & H. Naseh & F. Ommi, 2021. "Adaptive surrogate modelling algorithm for meta-model-based design optimisation," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 39(3), pages 394-410.
    • Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:394-410
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=119721
    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:ijisen:v:39:y:2021:i:3:p:394-410. 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=188 .

    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.