Topology Optimization Method Based on On–Off Method and Level Set Approach.

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. [ABSTRACT FROM AUTHOR]