Minimal Function Calls Approach with On-Line Learning and Dynamic Weighting for Computationally Intensive Design Optimisation


Sykulski, J.K., Al-Khoury, A.H. and Goddard, K.F. (2000) Minimal Function Calls Approach with On-Line Learning and Dynamic Weighting for Computationally Intensive Design Optimisation.

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Description/Abstract

Design/optimisation processes requiring intensive finite-element computation can be made significantly more efficient, while preserving good accuracy, by combining the Response Surface Methodology with on-line learning and dynamic weighting. The paper presents such a new development and uses the multi-parameter design of a brushless pm motor to illustrate the approach.

Item Type: Article
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 255902
Date Deposited: 03 Jun 2001
Last Modified: 27 Mar 2014 19:57
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/255902

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