Reference
[2] Bilal, Pant, M., Zaheer, H., Garcia-Hernandez, L., & Abraham, A. (2020). Differential Evolution: A review of more than two decades of research.
Engineering Applications of Artificial Intelligence,
90, 103479.
https://doi.org/10.1016/j.engapp ai.2020.103479
[3] Ranjini Kizhakkethil, S., & Murugan, S. (2018). Design and performance comparison of permanent magnet brushless motors and switched reluctance motors for extended temperature applications.
Progress In Electromagnetics Research M,
67, 137-146.
https://doi.org/10.2528/PIERM18022502
[4] Andrada, P., Blanqué, B., Martinez, E., & Torrent, M. (2014). A Novel Type of Hybrid Reluctance Motor Drive.
Industrial Electronics, IEEE Transactions on,
61(8), 4337-4345.
https://doi.org/10.1109/TIE.2013.2279384
[5] Lin, C., & Lin, B.-F. (2012). Automatic pressurized water reactor loading pattern design using ant colony algorithms.
Annals of Nuclear Energy,
43, 91-98.
https://doi.org/ 10.1016/j.anucene.2011.12.002
[6] Ortiz, J. J., Castillo, A., Montes, J. L., & Perusquía, R. (2007). A new system to fuel loading and control rod pattern optimization in boiling water reactors.
Nuclear Science and Engineering,
157(2), 236-244.
http://repositorio.fciencias.unam.mx: 8080/jspui/handle/11154/1090
[8] de Moura Meneses, A. A., Machado, M. D., & Schirru, R. (2009). Particle Swarm Optimization applied to the nuclear reload problem of a Pressurized Water Reactor.
Progress in Nuclear Energy,
51(2), 319-326.
https://doi.org/10.1016/j.pnucene.20 08.07.002
[9] Waintraub, M., Schirru, R., & Pereira, C. M. N. A. (2009). Multiprocessor modeling of parallel Particle Swarm Optimization applied to nuclear engineering problems.
Progress in Nuclear Energy,
51(6), 680-688.
https://doi.org/10.1016/j.pnucene.20 09.02.004
[10] de Oliveira, I. M. S., & Schirru, R. (2011). Swarm intelligence of artificial bees applied to In-Core Fuel Management Optimization.
Annals of Nuclear Energy,
38(5), 1039-1045.
https://doi.org/10.1016/j.anucene.2011.01.009
[11] Safarzadeh, O., Zolfaghari, A., Norouzi, A., & Minuchehr, H. (2011). Loading pattern optimization of PWR reactors using Artificial Bee Colony.
Annals of Nuclear Energy,
38(10), 2218-2226.
https://doi.org/10.1016/j.anucene.2011.06.008
[13] de Moura Meneses, A. A., Araujo, L. M., Nast, F. N., da Silva, P. V., & Schirru, R. (2018). Application of metaheuristics to Loading Pattern Optimization problems based on the IAEA-3D and BIBLIS-2D data.
Annals of Nuclear Energy,
111, 329-339.
https://doi.org/10.1016/j.anucene.2017.09.008
[14] Poursalehi, N., Zolfaghari, A., Minuchehr, A., & Moghaddam, H. K. (2013). Continuous firefly algorithm applied to PWR core pattern enhancement.
Nuclear Engineering and Design,
258, 107-115.
https://doi.org/10.1016/j.nucengdes.2013.02.011
[15] Schlünz, E., Bokov, P., & Vuuren, J. (2016). An optimisation-based decision support system framework for multi-objective in-core fuel management of nuclear reactor cores.
South African Journal of Industrial Engineering,
27(3), 201-209.
https://doi. org/10.7166/27-3-1650
[16] Schlünz, E., Bokov, P., & Vuuren, J. (2018). Multiobjective in-core nuclear fuel management optimisation by means of a hyperheuristic.
Swarm and Evolutionary Computation,
42, 58-76
. https://doi.org/10.1016/j.swevo.2018.02.019
[18] del Campo, C. M. n., Francois, J., & López, H. (2001). AXIAL: a system for boiling water reactor fuel assembly axial optimization using genetic algorithms.
Annals of Nuclear Energy,
28(16), 1667-1682.
https://inis.iaea.org/search/search.aspx?orig_ q=RN:33033264
[19] Martín del Campo, C., Palomera-Pérez, M.-Á., & François, J. (2009). Advanced and flexible genetic algorithms for BWR fuel loading pattern optimization.
Annals of Nuclear Energy 36(10), 1553-1559.
https://doi.org/10.1016/j.anucene.2009.07.013
[20] Ortiz, J. J., & Requena, I. (2004). An Order Coding Genetic Algorithm to Optimize Fuel Reloads in a Nuclear Boiling Water Reactor.
Nuclear Science and Engineering,
146(1), 88-98.
https://doi.org/10.13182/NSE04-A2395
[21] Do, B., Choi, H., & Roh, G. (2006). An Evolutionary Optimization of the Refueling Simulation for a CANDU Reactor.
Nuclear Science, IEEE Transactions on,
53(5), 2957-2961.
https://doi.org/10.1109/TNS.2006.882369
[23] Mishra, S., Modak, R. S., & Ganesan, S. (2009). Optimization of Thorium loading in fresh core of Indian PHWR by evolutionary algorithms.
Annals of Nuclear Energy,
36(7), 948-955.
https://doi.org/10.1016/j.anucene.2009.03.003
[25] Pratapgiri, S., & Prasad, P. V. N. (2011). Direct Instantaneous torque control of 4 phase 8/6 switched reluctance motor.
International Journal of Power Electronics and Drive System (IJPEDS),
1(2), 121-128.
https://doi.org/10.11591/ijpeds.v1i2.102
[26] Le-Huy, H., & Chakir, M. (2010, Septemper 6-8). Optimizing the performance of a switched reluctance generator by simulation. The XIX International Conference on Electrical Machines - ICEM 2010, Rome, Italy.
https://ieeexplore.ieee.org/docume nt/5608165
[27] Zhu, Y., Zhao, C., Zhang, J., & Gong, Z. (2020). Vibration Control for Electric Vehicles With In-Wheel Switched Reluctance Motor Drive System.
IEEE Access,
8, 7205 - 7216.
https://doi.org/10.1109/ACCESS.2020.2964582
[28] Pasquesoone, G. (2011). Controls for High Performance Three-Phase Switched Reluctance Motors [Doctoral Dissertations, University of Akron]. Ohio, United States.
[30] Lim, H. S., Roberson, D. G., Lobo, N. S., & Krishnan, R. (2005, November 6-10). Novel flux linkage control of switched reluctance motor drives using observer and neural network-based correction methods. 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005, Raleigh, NC, USA.
https://ieeexplore.ieee. org/document/1569115
)
