Multi-Objective Automatic Design of Permanent Magnet Motor Using Monte Carlo Tree Search
Author:
Affiliation:
1. Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan
Funder
JST SPRING
MEXT Doctoral program for Data-Related InnoVation Expert Hokkaido University (D-DRIVE-HU) program and KAKENHI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/20/10108398/10064140.pdf?arnumber=10064140
Reference9 articles.
1. A fast and elitist multiobjective genetic algorithm: NSGA-II
2. Evaluation of the 2010 Toyota Prius Hybrid Synergy Drive System
3. Optimization of Permanent Magnet Configuration Using Boolean Geometry Projection Method for IPM Motors
4. Automatic Design of PM Motor Using Monte Carlo Tree Search in Conjunction With Topology Optimization
5. A Data-Driven Automatic Design Method for Electric Machines Based on Reinforcement Learning and Evolutionary Optimization
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