Global Transformer Optimization Method Using Evolutionary Design and Numerical Field Computation

This paper addresses the complex optimum transformer design problem, which is formulated as a mixed-integer nonlinear programming problem, by introducing an integrated design optimization method based on evolutionary algorithms and numerical electromagnetic and thermal field computations. The main c...

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Veröffentlicht in:	IEEE transactions on magnetics 2009-03, Vol.45 (3), p.1720-1723
Hauptverfasser:	Amoiralis, E.I., Georgilakis, P.S., Tsili, M.A., Kladas, A.G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Computation Conducting materials Cost function Cross-disciplinary physics: materials science rheology Design method Design methodology Design optimization Electromagnetic fields Evolutionary Evolutionary computation Evolutionary design method Exact sciences and technology finite element method (FEM) Genetic programming Magnetism Manufacturing industries Materials science Mathematical analysis Mathematical models mixed integer nonlinear programming Nonlinear programming Optimization Optimization methods Other topics in materials science Physics transformer Transformers
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