A Data-Driven Automatic Design Method for Electric Machines Based on Reinforcement Learning and Evolutionary Optimization
The design problems of electric machines are actually treated as a kind of mixed-integer problem, because the machine shapes are defined by some integer variables, such as number of slots, and the other variables, such as the tooth width, which are here called the fundamental and shape variables, re...
Auteurs principaux: | Takahiro Sato, Masafumi Fujita |
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Format: | Article |
Langue: | English |
Publié: |
IEEE
2021-01-01
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Collection: | IEEE Access |
Sujets: | |
Accès en ligne: | https://ieeexplore.ieee.org/document/9427216/ |
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