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
DUGHIERO, FABRIZIO;FORZAN, MICHELE;SIENI, ELISABETTA
2015
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.File in questo prodotto:
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