Magnetic Design Optimization Approach Using Design of Experiments With Evolutionary Computing

Magnetic Design Optimization Approach Using Design of Experiments With Evolutionary Computing

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, the most sensitive variables are activated; subsequently, the whole set of variables is activated. The o...

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Veröffentlicht in:IEEE transactions on magnetics 2016-03, Vol.52 (3), p.1-4
Hauptverfasser: Di Barba, P., Dughiero, F., Forzan, M., Sieni, E.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithm design and analysis
Computation
Design of experiments
Design optimization
Evolutionary algorithms
Evolutionary computing
Evolutionary design method
finite elements
Geometry
magnetic field synthesis
Magnetic fields
Magnetism
Mathematical models
multiobjective optimal design
Optimization
sensitivity analysis
Sociology
Statistics
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Beschreibung
Zusammenfassung: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, the most sensitive variables are activated; subsequently, the whole set of variables is activated. The optimal synthesis of a magnetic field for magnetofluid treatment is considered as the case study.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2015.2476378