2010
DOI: 10.1109/tmag.2010.2044986
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Optimization of Inductors Using Evolutionary Algorithms and Its Experimental Validation

Abstract: This paper presents parameter and topology optimization of inductor shapes using evolutionary algorithms. The goal of the optimization is to reduce the size of inductors satisfying the specifications on inductance values under weak and strong bias-current conditions. The inductance values are computed from the finite-element (FE) method taking magnetic saturation into account. The result of the parameter optimization, which leads to significant reduction in the volume, is realized for test, and the dependence … Show more

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Cited by 66 publications
(35 citation statements)
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“…2, which is a simplified model of a real inductor widely used in electric circuits whose cross-sectional picture can be found in [15]. The current is assumed to be uniform in the cross section of the coil.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…2, which is a simplified model of a real inductor widely used in electric circuits whose cross-sectional picture can be found in [15]. The current is assumed to be uniform in the cross section of the coil.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…In order to compute the properties of the magnetic devises, we solve the finite element equation given by b a  K (1) where K, a and b represent the finite element matrix, unknown vector potentials and source term.…”
Section: Optimization Methodsmentioning
confidence: 99%
“…If stagnation is observed in the optimization process, the individuals except for elite solution are reinitialized randomly [11]. Procedure of the μGA is summarized as follows: (1). Initial population is generated randomly which has Npop size.…”
Section: B Global Search Methodsmentioning
confidence: 99%
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“…Three dimensional FE analysis is still time consuming although computer performance has been significantly improving. In particular, heavy computational burden in the three dimensional FE analysis causes serious problems when it is applied to optimizations [1][2][3]. It is, therefore, strongly required that the computational time for the FE analysis is reduced.…”
Section: Introductionmentioning
confidence: 99%