Modified stem cells algorithm with enhanced strategy applied to engineering inverse problems in electromagnetics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Modelling and Simulation,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Link
https://link.springer.com/content/pdf/10.1007/s10825-020-01603-5.pdf
Reference15 articles.
1. Taherdangkoo, M.: Modified stem cells algorithm for Loney’s solenoid benchmark problem. Int. J. Appl. Electromagn. Mech. 42(3), 437–445 (2013)
2. Coelho, L.D.S., Alotto, P.: Loney’s solenoid design using an artificial immune network with local search based on the simplex method. IEEE Trans. Magn. 44(6), 1070–1073 (2008)
3. Khan, T.A., Ling, S.: An improved gravitational search algorithm for solving an electromagnetic design problem. J. Comput. Electron. (2020). https://doi.org/10.1007/s10825-020-01476-8
4. Duca, A., Ciuprina, G., Lup, S., Hameed, I.: ACO R algorithm’s efficiency for electromagnetic optimization benchmark problems. In: International Symposium on Advanced Topics in Electrical Engineering, pp. 1–5 (2019)
5. Coelho, L.D.S., Alotto, P.: Multiobjective electromagnetic optimization based on a nondominated sorting genetic approach with a chaotic crossover operator. IEEE Trans. Magn. 44(6), 1078–1081 (2008)
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