Automated Optimal Design (AOD) of electromagnetic devices turns out to be a task of increasing significance in the field of electrical engineering. Often the direct relation between desired quality of the technical product and the design variables is unknown. Stochastic optimization methods in combination with general numerical field computation techniques like the finite element method (FEM) offer the most universal approach in AOD. The application to a nonlinear magneto-static problem of technical significance is demonstrated by minimizing the overall material cost of a small DC-motor by optimizing the rotor and stator shape.
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References
1.
KirkpatrickS., GelattCD. and VecchiM.P., Science220 (1988) 671.; also in: Neurocomputing, Foundations of Research, eds Kirkpatrick S., CD. Gellatt and Vecchi M.P. (1988) p. 554.
2.
MetropolisN., RosenbluthA., RosenbluthM., TellerA. and TellerE., J. Chem. Phys.21 (1953) 1087.
3.
RechenbergI., Evolutions Strategie - Optimierung technischer Systeme nach Prinzipien der biologischen Evolution (Frommann-Holzboog, Stuttgart, 1973).
4.
SchwefelH.-P., Numerical Optimization of Computer Models (Wiley, Chichester, 1981).
5.
HameyerK. and KasperM., in: Optimization of Structural Systems and Applications (Elsevier, London, 1993) p. 15.
6.
JohnsonC., Numerical Solution of Partial Differential Equations by the Finite Element Method (University Press, Cambridge, 1987).
7.
SilvesterP.P., CabayanH.S. and BrowneB.T., IEEE Trans. Power Apparatus Systems92 (1973) 1274.
8.
BankR.E. and WeiserA., Math. Comp.44 (1985) 283.
9.
SubramaniamS., ArkadanA.A. and HooleS.R., IEEE Trans. Magn.30(5) (1994) 3455.
