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...

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Bibliografiske detaljer
Main Authors:	Takahiro Sato, Masafumi Fujita
Format:	Article
Sprog:	English
Udgivet:	IEEE 2021-01-01
Serier:	IEEE Access
Fag:	CMA-ES design optimization electric machine evolutionary algorithms reinforcement learning tree search
Online adgang:	https://ieeexplore.ieee.org/document/9427216/

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