A new optimization method, combining design of experiments with evolutionary computing, is proposed: it handles a set of design variables, the size of which changes during the process: initially, most sensitive variables are activated; subse quently, the whole set of variables is activated. The optimal synthesis of a magnetic field for magneto-fluid treatment is considered as the case study.

Switch of design variables: a cost-effective identification of the Pareto front in inverse magnetics

Forzan M.;Sieni E.
2015-01-01

Abstract

A new optimization method, combining design of experiments with evolutionary computing, is proposed: it handles a set of design variables, the size of which changes during the process: initially, most sensitive variables are activated; subse quently, the whole set of variables is activated. The optimal synthesis of a magnetic field for magneto-fluid treatment is considered as the case study.
2015
Proceeding COMPUMAG
COMPUMAG
Montreal, Canada
June 28, July 2 2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2077328
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