Although space mapping is a powerful methodology, it is not always straightforward to implement, especially if one wants to use some advanced techniques and employ commercial simulators in the automatic optimization loop. The user-friendly SMF system has been designed to alleviate these difficulties. SMF is a GUI-based Matlab package for space-mapping-based constrained optimization, modeling and statistical analysis. It is up to date, i.e., it incorporates most of the existing space mapping optimization and modeling techniques. It is designed to make space mapping accessible to engineers inexperienced in this methodology.

We give an introduction to space mapping technology and discuss practical issues of space mapping optimization and modeling. We introduce the SMF system, discuss its architecture as well as its capabilities. We show application examples and provide step-by-step tutorials that illustrate how to set up the optimization problem, link fine/coarse models, run the space mapping algorithm and visualize the results. On-line software demonstration will be given.

Registration required: please respond by e-mail.

Refreshments will be served
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Dr. John W. Bandler, FCAE, FRSC
Simulation Optimization Systems Research Laboratory
Department of Electrical and Computer Engineering
McMaster University, 1280 Main Street West
Hamilton, Ontario, Canada L8S 4K1

Tel 905 628 9671
bandler@mcmaster.ca, www.sos.mcmaster.ca
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Second International Workshop on SURROGATE MODELLING

AND SPACE MAPPING FOR ENGINEERING OPTIMIZATION (SMSMEO-06)

Technical University of Denmark

November 9-11, 2006

http://www2.imm.dtu.dk/~km/smsmeo-06/

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