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...

Полное описание

Библиографические подробности
Главные авторы:	Takahiro Sato, Masafumi Fujita
Формат:	Статья
Язык:	English
Опубликовано:	IEEE 2021-01-01
Серии:	IEEE Access
Предметы:	CMA-ES design optimization electric machine evolutionary algorithms reinforcement learning tree search
Online-ссылка:	https://ieeexplore.ieee.org/document/9427216/

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