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- W3083319349 endingPage "1509" @default.
- W3083319349 startingPage "1509" @default.
- W3083319349 abstract "The paper proposes the automated optimal design of a class of micro–electro–mechanical (MEMS) devices, based on a procedure of finite element analysis coupled to evolutionary optimization algorithms. A magnetic MEMS, used as an optical switch, is considered as the case study. In particular, the geometry of the device is optimized in order to maximize the actuation torque and minimize the power losses and the device volume. The optimization algorithms belong to the genetic class and, in particular, Migrated Parents - Non-Dominated Sorting Genetic Algorithm MP-NSGA, with three objective functions, is compared to NSGA-III." @default.
- W3083319349 created "2020-09-11" @default.
- W3083319349 creator A5008776171 @default.
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- W3083319349 date "2020-09-04" @default.
- W3083319349 modified "2023-09-27" @default.
- W3083319349 title "Many Objective Optimization of a Magnetic Micro–Electro–Mechanical (MEMS) Micromirror with Bounded MP-NSGA Algorithm" @default.
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- W3083319349 doi "https://doi.org/10.3390/math8091509" @default.
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