期刊
IEEE TRANSACTIONS ON MAGNETICS
卷 50, 期 2, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMAG.2013.2285379
关键词
Genetic algorithms; level set; permanent magnetic motors; shape optimization
资金
- Grants-in-Aid for Scientific Research [25630101] Funding Source: KAKEN
This paper proposes a two-step method for topology optimization, in which after global search is performed by the on-off method, and then local search is carried out by the level set approach. The genetic and gradient-based algorithms are employed for the former and latter optimizations, respectively. This present method is applied to two numerical examples; topology optimizations of a magnetic shield system and interior permanent magnetic motor. It is shown that this present method can find solutions with better performances in comparison with the conventional on-off method.
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