Multi-objective Optimization of Permanent Magnet Actuator Based on Surrogate Model

Author:

Danyang Ke,Xin Zheng

Publisher

Springer Nature Singapore

Reference11 articles.

1. Wang XY, Gao P (2015) Optimal design of permanent magnets of in-wheel motor based on evolution strategy. Proceedings of the Chinese Society of Electrical Engineering 35(04):979–984 (in Chinese)

2. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182–197

3. Yuan X, Zhang B, Wang P et al (2017) Multi-objective optimal power flow based on improved strength Pareto evolutionary algorithm. Energy 122:70–82

4. Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: solving problems with box constraints. IEEE Trans Evol Comput 18(4):577–601

5. Xie BC, Zhang Y, Xu ZY et al (2022) Review on multidisciplinary optimization key technology of electrical machine based on surrogate models. Transactions of China Electrotechnical Society 37(20):5117–5143 (in Chinese)

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