An improved red deer algorithm for addressing a direct current brushless motor design problem

Document Type : Article

Authors

1 Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran

2 Department of Electrical Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran

3 Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran

Abstract

The Red Deer Algorithm (RDA) is one of recent metaheuristic algorithms inspired by the behavior of red deers during a breading season. The RDA revealed its performance for a variety of combinatorial optimization problems in different real-world applications. In this paper, the parameters and operators of RDA using some adaptive strategies have been modified to improve the performance of this optimizer. To prove the efficiency of Improved RDA (IRDA), not only some benchmarked functions are utilized but also a Direct Current (DC) brushless motor design as one of real-world engineering design issues. The results of developed IRDA have been compared with its general idea and existing algorithms from the literature. This comparative study confirms that the offered IRDA outperforms the other algorithms and provide very competitive results.

Keywords

Main Subjects

References

References:
[1] Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., and Tavakkoli-Moghaddam, R., “A bi-objective green home health care routing problem.” Journal of Cleaner Production, 200, pp. 423-443, (2018).
[2] Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M. and Tavakkoli-Moghaddam, R., “The Social Engineering Optimizer (SEO).” Engineering Applications of Artificial Intelligence, 72, pp. 267- 293, (2018).
[3] Mirjalili, S., “Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm.” Knowledge-Based Systems, 89, pp. 228-249, (2015).
[4] Mirjalili, S., “SCA: a sine cosine algorithm for solving optimization problems.” Knowledge-Based Systems, 96, pp.  120-133, (2016).
[5] Ghorbani, N., and Babaei, E. “Exchange market algorithm.” Applied Soft Computing, 19, pp. 177-187, (2014).
[6] Fathollahi Fard, A. M., and Hajighaei-Keshteli, M., “Red deer algorithm (RDA); a new optimization algorithm inspired by red deer’s mating.” International Conference on Industrial Engineering, IEEE, 12, pp. 331-342, (2016).
[7] Faris, H., Mafarja, and M. M., Heidari, A. A., et al., “An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems.” Knowledge-Based Systems, 154, pp. 43-67, (2018).
[8] Duan, H. and Gan, L., "Orthogonal multiobjective chemical reaction optimization approach for the brushless DC motor design", IEEE Transactions on Magnetics, 51(1), pp. 1-7, (2015).
[9] Lee, T.-Y., Trung, P. X., Kim, J.-W., Kim, Y.-J. and Jung, S.-Y., "Search region management method for local search algorithm employing design optimization of brushless dc motor", IEEE Transactions on Magnetics, 52(3), pp. 1-6, (2016).
[10] Wolpert, D.H., and Macready, W.G., “No free lunch theorems for optimization.” IEEE Transaction on Evolutionary Computation, 1 (1), pp. 67–82, (1997).
[11] Fathollahi Fard, A. M., and Hajiaghaei-Keshteli, M., “A bi-objective partial interdiction problem considering different defensive systems with capacity expansion of facilities under imminent attacks.” Applied Soft Computing, 68, pp. 343-359, (2018).
[12] Ayala, H. V., Segundo, E. H., Mariani, V. C. and Coelho, L. d. S., "Multiobjective krill herd algorithm for electromagnetic optimization", IEEE Transactions on Magnetics, vol. 52(3), pp. 31-48, (2016).
[13] Ishikawa, T., Yonetake, K. and Kurita, N., "An optimal material distribution design of brushless DC motor by genetic algorithm considering a cluster of material", IEEE Transactions on Magnetics, 47(5), pp. 1310-1313, (2011).
[14] Son, B., Park, G.-J., Kim, J.-W., Kim, Y.-J. and Jung, S.-Y., (2016). "Interstellar search method with mesh adaptive direct search for optimal design of brushless DC motor", IEEE Transactions on Magnetics, 52(3), pp. 1-4, (2011).
[15] Yoon, K.-Y. and Kwon, B.-I., "Optimal design of a new interior permanent magnet motor using a flared-shape arrangement of ferrite magnets", IEEE Transactions on Magnetics, 52(7), pp. 11-24, (2016).
[16] Kim, H.-s., You, Y.-M. and Kwon, B.-I., "Rotor shape optimization of interior permanent magnet BLDC motor according to magnetization direction", IEEE Transactions on Magnetics, 49(5), pp. 2193-2196, (2013).
[17] Liu, X., Hu, H., Zhao, J., Belahcen, A., Tang, L. and Yang, L., "Analytical solution of the magnetic field and emf calculation in ironless BLDC motor", IEEE Transactions on Magnetics, 52(2), pp. 1-10, (2016).
[18] Lee, T.-Y., Seo, M.-K., Kim, Y.-J. and Jung, S.-Y., "Motor design and characteristics comparison of outer-rotor-type BLDC motor and blac motor based on numerical analysis", IEEE Transactions on Applied Superconductivity, 26(4), pp. 1-6 (2016).
[19] Azari, M. N., Samani, M., and Pahnekolaie, S. M. A., “Optimal design of a Brushless DC motor, by using the Cuckoo Optimization”, International Journal of Engineering, Transaction B: Applications, 30(5), pp. 668-677, (2017).
[20] Xu, X., and Deng, “UAV Power Component—DC Brushless Motor Design With Merging Adjacent-Disturbances and Integrated-Dispatching Pigeon-Inspired Optimization”, IEEE Transactions on Magnetics, 56(5), pp. 1-7, (2018).
[21] Golmohamadi, S., Tavakkoli-Moghaddam, R., and Hajiaghaei-Keshteli, M. “Solving a fuzzy fixed charge solid transportation problem using batch transferring by new approaches in meta-heuristic.” Electronic Notes in Discrete Mathematics, 58, pp. 143-150, (2017).
[22] Samadi, A., Mehranfar, N., Fathollahi Fard, A. M., and Hajiaghaei-Keshteli, M. “Heuristic-based metaheuristic to address a sustainable supply chain network design problem.” Journal of Industrial and Production Engineering. 35 (2), pp. 102-117, (2018).
[23] Hajiaghaei-Keshteli, M., and Fathollahi Fard, A. M., “Sustainable closed-loop supply chain network design with discount supposition.” Neural Computing and Applications, pp. 1-35, (2018).
[24] Sahebjamnia, N., Fathollahi-Fard, A. M., and Hajiaghaei-Keshteli, M. “Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks.” Journal of Cleaner Production, 196, pp. 273-296, (2018). [25] Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M. & Mirjalili S., “Multi-objective stochastic closed-loop supply chain network design with social considerations.” Applied Soft Computing, 71, pp. 505-525, (2018).
[26] Mohammadzadeh, H., Sahebjamnia, N., Fathollahi-Fard, A. M., and Hajiaghaei-Keshteli, M., New approaches in Metaheuristics to solve the truck scheduling problem in a cross docking center. International Journal of Engineering, Transaction B: Applications, 31(8), pp. 1258-1266, (2018).
[27] Rahideh, A., Korakianitis, T., Ruiz, P., Keeble, T. and Rothman, M., "Optimal brushless DC motor design using genetic algorithms", Journal of Magnetism and Magnetic Materials, 322 (22) pp. 3680-3687, (2010).
[28] Taguchi, G. “Introduction to quality engineering: designing quality into products and processes”, (1986).
[29] Tian, G., Ren, Y., Feng, Y., Zhou, M., Zhang, H., and Tan, J. “Modeling and planning for dual-objective selective disassembly using AND/OR graph and discrete artificial bee colony.” IEEE Transactions on Industrial Informatics, 15, pp. 2456-2468, (2019).
[30] Esfandiyari, Z., Bashiri, M., and Tavakkoli-Moghaddam, R., “Resilient network design in a location-allocation problem with multi-level facility hardening.” Scientia Iranica, 26(2), pp. 996-1008, (2019).
[31] Tian, G., M. Zhou, and P. Li, “Disassembly sequence planning considering fuzzy component quality and varying operational cost,” IEEE Transactions on Automation Science and Engineering, 15, pp. 748-760, (2018).
[32] Safaeian, M., Fathollahi-Fard, A. M., Tian, G., et al., “A multi-objective supplier selection and order allocation through incremental discount in a fuzzy environment.” Journal of Intelligent & Fuzzy Systems, 37(1), pp. 1435-1455, (2019).
[33] Fu, Y., Tian, G., Fathollahi-Fard, A. M., et al., “Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint.” Journal of cleaner production, 226, pp. 515-525, (2019).
[34] Abdi, A., Abdi, A., Fathollahi-Fard, A. M., et al., “A set of calibrated metaheuristics to address a closed-loop supply chain network design problem under uncertainty.” International Journal of Systems Science: Operations & Logistics, pp. 1-18, (2019).
[35] Bahadori-Chinibelagh, S., Fathollahi-Fard, A. M., and Hajiaghaei-Keshteli, M., “Two Constructive Algorithms to Address a Multi-Depot Home Healthcare Routing Problem.” IETE Journal of Research, pp. 1-7, (2019).
[36] Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., & Mirjalili, S. “A set of efficient heuristics for a home healthcare problem.” Neural Computing and Applications, pp. 1-21, (2019).
Scientia Iranica
Volume 28, Issue 3 - Serial Number 3
Transactions on Industrial Engineering (E)
May and June 2021
Pages 1750-1764

Files

Share

How to cite

Statistics