A Data-Driven Automatic Design Method for Electric Machines Based on Reinforcement Learning and Evolutionary Optimization

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...

書目詳細資料
Main Authors:	Takahiro Sato, Masafumi Fujita
格式:	Article
語言:	English
出版:	IEEE 2021-01-01
叢編:	IEEE Access
主題:	CMA-ES design optimization electric machine evolutionary algorithms reinforcement learning tree search
在線閱讀:	https://ieeexplore.ieee.org/document/9427216/

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