Design of microwave structures with MEFISTO-3D NOVA and MATLAB optimization and neural network toolboxes

Authors

  • Hong-Son Chu,

    1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
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    • With the Institute of High Performance Computing, 1 Science Park Road, #01-01 The Capricorn Singapore Science Park II, 117528, Singapore.

  • Poman P. M. So,

    1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
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  • Wolfgang J. R. Hoefer

    Corresponding author
    1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
    • Department of Electrical and Computer Engineering, University of Victoria, BC, Canada
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Abstract

This paper introduces two time-domain field-based optimization procedures for microwave engineering. The methods are built on the foundations of MATLAB's optimization and neural network toolboxes. The first procedure makes use of a direct connection linking MATLAB's optimization toolbox with MEFISTO-3D NOVA. In this approach the field simulator acts as an objective function server for the optimization toolbox; these two programs work cooperatively with each other to tune the structure parameters to obtain a target response. The second procedure is an indirect optimization approach that makes use of MATLAB's neural network toolbox in conjunction with MEFISTO-3D NOVA to create a neural network model to emulate the structure of interest; the resulting neural network model is then used an objective function server in a normal MATLAB optimization process. Copyright © 2006 John Wiley & Sons, Ltd.

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