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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Bibliographic Details
Published in:	IEEE transactions on magnetics Vol. 45; no. 3; pp. 1720 - 1723
Main Authors:	Amoiralis, E.I., Georgilakis, P.S., Tsili, M.A., Kladas, A.G.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	New York, NY IEEE 01.03.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Design Finite element method mixed integer nonlinear programming Design method transformer Modelling finite element method (FEM) optimization methods Magnetic properties
ISSN:	0018-9464, 1941-0069
Online Access:	Get full text
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