1. Brock, H., B. Berker, and E. Ali, "Design of an external-rotor direct drive E-bike switched reluctance motor," IEEE Transactions on Vehicular Technology, Vol. 69, No. 3, 2552-2562, 2020.
doi:10.1109/TVT.2020.2965943
2. Lin, J. N., N. Schofield, and E. Ali, "External-rotor 6-10 switched reluctance motor for an electric bicycle," IEEE Transactions on Transportation Electrification, Vol. 1, No. 4, 348-356, 2015.
doi:10.1109/TTE.2015.2502543
3. Berker, B., H. Brock, D. Alan, et al. "Making the case for switched reluctance motors for propulsion applications," IEEE Transactions on Vehicular Technology, Vol. 69, No. 7, 7172-7186, 2020.
doi:10.1109/TVT.2020.2993725
4. Anvari, B., H. A. Toliyat, and B. Fahimi, "Simultaneous optimization of geometry and firing angles for in-wheel switched reluctance motor drive," Current Forestry Reports, Vol. 4, No. 1, 322-329, 2018.
5. Ma, C. and L. Y. Qu, "Multiobjective optimization of switched reluctance motors based on design of experiments and particle swarm optimization," IEEE Transactions on Energy Conversion, Vol. 30, No. 3, 1144-1153, 2015.
doi:10.1109/TEC.2015.2411677
6. Zhang, Z., S. H. Rao, and X. Zhang, "Performance prediction of switched reluctance motor using improved generalized regression neural networks for design optimization," China Electrotechnical Society Transactions on Electrical Machines and Systems, Vol. 2, No. 4, 371-376, 2018.
doi:10.30941/CESTEMS.2018.00047
7. Xia, B., Z. Ren, Y. L. Zhang, and C. Koh, "An adaptive optimization algorithm based on kriging interpolation with spherical model and its application to optimal design of switched reluctance motor," Journal of Electrical Engineering and Technology, Vol. 9, No. 5, 1544-1550, 2014.
doi:10.5370/JEET.2014.9.5.1544
8. Hua, Y. Z., H. Q. Zhu, M. Gao, and Z. Ji, "Multi-objective optimization design of permanent magnet assisted bearingless synchronous reluctance motor using NSGA-II," IEEE Transactions on Industrial Electronics, Vol. 68, No. 11, 10477-10487, 2020.
doi:10.1109/TIE.2020.3037873
9. Nagarajan, V. S., B. Mahadevan, V. Kamaraj, et al. "Design optimization of ferrite assisted synchronous reluctance motor using multi-objective differential evolution algorithm," The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 36, No. 1, 219-239, 2017.
doi:10.1108/COMPEL-06-2016-0253
10. Mohamed, E., A. Mohamed, R. Hegazy, and N. I. Mohamed, "Finite element based overall optimization of switched reluctance motor using multi-objective genetic algorithm (Nsga-II)," Mathematics, Vol. 9, No. 5, 1-20, 2021.
11. Rong, T., L. Ke, D. Wei, Y. T. Wang, et al. "Reference point based multi-objective optimization of reservoir operation: A comparison of three algorithms," Water Resources Management, Vol. 34, No. 3, 1005-1020, 2020.
doi:10.1007/s11269-020-02485-9
12. Hu, J., G. Yu, J. H. Zheng, and J. Zou, "A preference-based multi-objective evolutionary algorithm using preference selection radius," Soft Computing --- A Fusion of Foundations, Methodologies & Applications, Vol. 21, No. 17, 5025-5051, 2017.
13. Wang, L. P., M. L. Zhang, F. Y. Qiu, and B. Jiang, "Many-objective optimization algorithm with preference based on the angle penalty distance elite selection strategy," Jisuanji Xuebao/Chinese Journal of Computers, Vol. 41, No. 1, 236-253, 2018.
14. Wang, S. F., J. H. Zheng, J. J. Hu, J. Zou, and G. Yu, "Multi-objective evolutionary algorithm for adaptive preference radius to divide region," Journal of Software, Vol. 28, No. 10, 2704-2721, 2017.
15. Molina, J., L. V. Santana, A. G. Hernandez-Diaz, C. A. Coello Coello, and R. Caballero, "g-dominance: Reference point based dominance for multiobjective metaheuristics," European Journal of Operational Research, Vol. 197, No. 2, 685-692, 2009.
doi:10.1016/j.ejor.2008.07.015
16. Said, B. L., S. Bechikh, and K. Ghedira, "The r-dominance: A new dominance relation for interactive evolutionary multicriteria decision making," IEEE Transactions on Evolutionary Computation, Vol. 14, No. 5, 801-818, 2010.
doi:10.1109/TEVC.2010.2041060
17. Li, K., Q. Zhang, S. Kwong, M. Li, and R. Wang, "Stable matching-based selection in evolutionary multiobjective optimization," IEEE Transactions on Evolutionary Computation, Vol. 18, No. 6, 909-923, 2014.
doi:10.1109/TEVC.2013.2286492
18. Lei, G., C. Liu, J. Zhu, and Y. Guo, "Techniques for multilevel design optimization of permanent magnet motors," IEEE Transactions on Energy Conversion, Vol. 30, No. 4, 1574-1584, 2015.
doi:10.1109/TEC.2015.2444434
19. Lei, G., W. Xu, J. Hu, J. Zhu, Y. Guo, and K. Shao, "Multilevel design optimization of a FSPMM drive system by using sequential subspace optimization method," IEEE Transactions on Magnetics, Vol. 50, No. 2, 685-688, 2014.
doi:10.1109/TMAG.2013.2282363
20. Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 182-197, 2002.
doi:10.1109/4235.996017
21. Altinoz, O. T., A. E. Yilmaz, and G. W.Weber, "Improvement of the gravitational search algorithm by means of low-discrepancy sobol quasi random-number sequence based initialization," Advances in Electrical and Computer Engineering, Vol. 14, No. 3, 55-62, 2014.
doi:10.4316/AECE.2014.03007
22. Navid, A., S. Khalilarya, and M. Abbasi, "Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process," Fuel, Vol. 228, 349-367, 2018.
doi:10.1016/j.fuel.2018.04.142
23. Kumar, A. and S. Devi, "Novel center symmetric local binary pattern and chi square fuzzy c-mean clustering based segmentation in medical imaging technique," International Journal of Scientific and Technology Research, Vol. 8, No. 7, 697-705, 2019.
24. Seong, J. H. and D. H. Seo, "Wi-Fi fingerprint using radio map model based on MDLP and euclidean distance based on the Chi squared test," Wireless Networks, Vol. 25, No. 6, 3019-3027, 2019.
doi:10.1007/s11276-018-1700-9
25. Mohammadi, A., M. N. Omidvar, and X. Li, "A new performance metric for user-preference based multi-objective evolutionary algorithms," IEEE Congress on Evolutionary Computation: CEC 2013, Vol. 4, 2564-3418, 2013.
26. Bosman, P. A. N. and D. Thierens, "The balance between proximity and diversity in multiobjective evolutionary algorithms," IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, 174-188, 2003.
doi:10.1109/TEVC.2003.810761