A Novel Multimodal Optimization Algorithm for the Design of Electromagnetic Machines

Abstract

The design of an electromagnetic machine is a nonlinear, multivariable, and multimodal optimization problem that incurs a great deal of computation time when calculating electromagnetic fields. To overcome these problems effectively, this paper proposes a new evolutionary multimodal optimization algorithm based on the Big Bang-Big Crunch method and aided by… (More)

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Cite this paper

@article{Yoo2016ANM, title={A Novel Multimodal Optimization Algorithm for the Design of Electromagnetic Machines}, author={Chung-Hee Yoo and Dong-Kuk Lim and Hyun-Kyo Jung}, journal={IEEE Transactions on Magnetics}, year={2016}, volume={52}, pages={1-4} }