Performance evaluation and comparison of multi-objective optimization algorithms for the analytical design of switched reluctance machines

This paper systematically evaluates and compares three well-engineered and popular multi-objective optimization algorithms for the design of switched reluctance machines. The multi-physics and multi-objective nature of electric machine design problems are discussed, followed by benchmark studies com...

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Bibliographic Details
Main Authors: Shen Zhang, Sufei Li, Ronald G. Harley, Thomas G. Habetler
Format: Article
Language:English
Published: China Electrotechnical Society 2017-03-01
Series:CES Transactions on Electrical Machines and Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7911109

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