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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.