IEEE transactions on magnetics, 2010-08, Vol.46 (8), p.3181-3184
2010
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Details
- Autor(en) / Beteiligte
- Titel
- Electromagnetic Device Design Based on RBF Models and Two New Sequential Optimization Strategies
- Ist Teil von
- IEEE transactions on magnetics, 2010-08, Vol.46 (8), p.3181-3184
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2010
- Quelle
- IEEE Xplore
- Beschreibungen/Notizen
- We present two new strategies for sequential optimization method (SOM) to deal with the optimization design problems of electromagnetic devices. One is a new space reduction strategy; the other is model selection strategy. Meanwhile, radial basis function (RBF) and compactly supported RBF models are investigated to extend the applied model types for SOM. Thereafter, Monte Carlo method is employed to demonstrate the efficiency and superiority of the new space reduction strategy. Five commonly used approximate models are considered for the discussion of model selection strategy. Furthermore, by two TEAM benchmark examples, we can see that SOM with the proposed new strategies and models can significantly speed the optimization design process, and the efficiency of SOM depends a little on the types of approximate models.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0018-9464eISSN: 1941-0069DOI: 10.1109/TMAG.2010.2043717Titel-ID: cdi_crossref_primary_10_1109_TMAG_2010_2043717
- Format
- –
- Schlagworte
- Approximate models, Approximation, Benchmarking, Computer simulation, Cross-disciplinary physics: materials science, rheology, Design engineering, Design optimization, Devices, electromagnetic device, Electromagnetic devices, Electromagnetic modeling, Exact sciences and technology, Finite element methods, Magnetism, Materials science, Monte Carlo method, Monte Carlo methods, Optimization, Optimization methods, Other topics in materials science, Physics, Process design, radial basis function (RBF), Reduction, Response surface methodology, Sampling methods, Space technology, Strategy