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2. [2] R. Fathi, B. Tousi, and S. Galvani, "Allocation of renewable resources with radial distribution network reconfiguration using improved salp swarm algorithm," Applied Soft Computing, vol. 132, p. 109828, 2023. [DOI:10.1016/j.asoc.2022.109828]

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5. [5] A. Mishra, M. Tripathy, and P. Ray, "A survey on different techniques for distribution network reconfiguration," Journal of Engineering Research, 2023.

6. [6] A. Zidan, R. S. Al-Abri, and E. F. El-Saadany, "Load model effect on distributed generation allocation and feeders' reconfiguration in unbalanced distribution systems," in GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th, 2015, pp. 1-5: IEEE. [DOI:10.1109/IEEEGCC.2015.7060021]

7. [7] H. Zhai, M. Yang, B. Chen, and N. Kang, "Dynamic reconfiguration of three-phase unbalanced distribution networks," International Journal of Electrical Power & Energy Systems, vol. 99, pp. 1-10, 2018. [DOI:10.1016/j.ijepes.2017.12.027]

8. [8] S. R. Tuladhar, J. G. Singh, and W. Ongsakul, "Multi-objective approach for distribution network reconfiguration with optimal DG power factor using NSPSO," IET Generation, Transmission & Distribution, vol. 10, no. 12, pp. 2842-2851, 2016. [DOI:10.1049/iet-gtd.2015.0587]

9. [9] A. M. Tahboub, V. R. Pandi, and H. Zeineldin, "Distribution system reconfiguration for annual energy loss reduction considering variable distributed generation profiles," IEEE Transactions on power delivery, vol. 30, no. 4, pp. 1677-1685, 2015. [DOI:10.1109/TPWRD.2015.2424916]

10. [10] J. Shukla, B. Das, and V. Pant, "Stability constrained optimal distribution system reconfiguration considering uncertainties in correlated loads and distributed generations," International Journal of Electrical Power & Energy Systems, vol. 99, pp. 121-133, 2018. [DOI:10.1016/j.ijepes.2018.01.010]

11. [11] N. G. Paterakis et al., "Multi-objective reconfiguration of radial distribution systems using reliability indices," IEEE Transactions on Power Systems, vol. 31, no. 2, pp. 1048-1062, 2016. [DOI:10.1109/TPWRS.2015.2425801]

12. [12] T. T. Nguyen, A. V. Truong, and T. A. Phung, "A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network," International Journal of Electrical Power & Energy Systems, vol. 78, pp. 801-815, 2016. [DOI:10.1016/j.ijepes.2015.12.030]

13. [13] A. Abdelaziz, S. Mekhamer, F. Mohammed, and M. Badr, "A modified Particle Swarm Technique for distribution systems reconfiguration," Online Journal on Electronics and Electrical Engineering (OJEEE) Vol.(1)-No.(2), 2010.

14. [14] H. R. Esmaeilian and R. Fadaeinedjad, "Energy Loss Minimization in Distribution Systems Utilizing an Enhanced Reconfiguration Method Integrating Distributed Generation," IEEE Systems Journal, vol. 9, no. 4, pp. 1430-1439, 2015. [DOI:10.1109/JSYST.2014.2341579]

15. [15] D.-L. Duan, X.-D. Ling, X.-Y. Wu, and B. Zhong, "Reconfiguration of distribution network for loss reduction and reliability improvement based on an enhanced genetic algorithm," International Journal of Electrical Power & Energy Systems, vol. 64, pp. 88-95, 2015. [DOI:10.1016/j.ijepes.2014.07.036]

16. [16] M. Esmaeili, M. Sedighizadeh, and M. Esmaili, "Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty," Energy, vol. 103, pp. 86-99, 2016. [DOI:10.1016/j.energy.2016.02.152]

17. [17] M. H. Kakueinejad, A. Heydari, M. Askari, and F. Keynia, "Optimal planning for the development of power system in respect to distributed generations based on the binary dragonfly algorithm," Applied Sciences, vol. 10, no. 14, p. 4795, 2020. [DOI:10.3390/app10144795]

18. [1] P. Ushashree and K. S. Kumar, "Power System Reconfiguration in Distribution System for Loss Minimization Using Optimization Techniques: A Review," Wireless Personal Communications, vol. 128, no. 3, pp. 1907-1940, 2023. [DOI:10.1007/s11277-022-10026-3]

19. [2] R. Fathi, B. Tousi, and S. Galvani, "Allocation of renewable resources with radial distribution network reconfiguration using improved salp swarm algorithm," Applied Soft Computing, vol. 132, p. 109828, 2023. [DOI:10.1016/j.asoc.2022.109828]

20. [3] S. Mishra, D. Das, and S. Paul, "A comprehensive review on power distribution network reconfiguration," Energy Systems, vol. 8, pp. 227-284, 2017. [DOI:10.1007/s12667-016-0195-7]

21. [4] M. Mahdavi, H. H. Alhelou, N. D. Hatziargyriou, and F. Jurado, "Reconfiguration of electric power distribution systems: Comprehensive review and classification," IEEE Access, vol. 9, pp. 118502-118527, 2021. [DOI:10.1109/ACCESS.2021.3107475]

22. [5] A. Mishra, M. Tripathy, and P. Ray, "A survey on different techniques for distribution network reconfiguration," Journal of Engineering Research, 2023.

23. [6] A. Zidan, R. S. Al-Abri, and E. F. El-Saadany, "Load model effect on distributed generation allocation and feeders' reconfiguration in unbalanced distribution systems," in GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th, 2015, pp. 1-5: IEEE. [DOI:10.1109/IEEEGCC.2015.7060021]

24. [7] H. Zhai, M. Yang, B. Chen, and N. Kang, "Dynamic reconfiguration of three-phase unbalanced distribution networks," International Journal of Electrical Power & Energy Systems, vol. 99, pp. 1-10, 2018. [DOI:10.1016/j.ijepes.2017.12.027]

25. [8] S. R. Tuladhar, J. G. Singh, and W. Ongsakul, "Multi-objective approach for distribution network reconfiguration with optimal DG power factor using NSPSO," IET Generation, Transmission & Distribution, vol. 10, no. 12, pp. 2842-2851, 2016. [DOI:10.1049/iet-gtd.2015.0587]

26. [9] A. M. Tahboub, V. R. Pandi, and H. Zeineldin, "Distribution system reconfiguration for annual energy loss reduction considering variable distributed generation profiles," IEEE Transactions on power delivery, vol. 30, no. 4, pp. 1677-1685, 2015. [DOI:10.1109/TPWRD.2015.2424916]

27. [10] J. Shukla, B. Das, and V. Pant, "Stability constrained optimal distribution system reconfiguration considering uncertainties in correlated loads and distributed generations," International Journal of Electrical Power & Energy Systems, vol. 99, pp. 121-133, 2018. [DOI:10.1016/j.ijepes.2018.01.010]

28. [11] N. G. Paterakis et al., "Multi-objective reconfiguration of radial distribution systems using reliability indices," IEEE Transactions on Power Systems, vol. 31, no. 2, pp. 1048-1062, 2016. [DOI:10.1109/TPWRS.2015.2425801]

29. [12] T. T. Nguyen, A. V. Truong, and T. A. Phung, "A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network," International Journal of Electrical Power & Energy Systems, vol. 78, pp. 801-815, 2016. [DOI:10.1016/j.ijepes.2015.12.030]

30. [13] A. Abdelaziz, S. Mekhamer, F. Mohammed, and M. Badr, "A modified Particle Swarm Technique for distribution systems reconfiguration," Online Journal on Electronics and Electrical Engineering (OJEEE) Vol.(1)-No.(2), 2010.

31. [14] H. R. Esmaeilian and R. Fadaeinedjad, "Energy Loss Minimization in Distribution Systems Utilizing an Enhanced Reconfiguration Method Integrating Distributed Generation," IEEE Systems Journal, vol. 9, no. 4, pp. 1430-1439, 2015. [DOI:10.1109/JSYST.2014.2341579]

32. [15] D.-L. Duan, X.-D. Ling, X.-Y. Wu, and B. Zhong, "Reconfiguration of distribution network for loss reduction and reliability improvement based on an enhanced genetic algorithm," International Journal of Electrical Power & Energy Systems, vol. 64, pp. 88-95, 2015. [DOI:10.1016/j.ijepes.2014.07.036]

33. [16] M. Esmaeili, M. Sedighizadeh, and M. Esmaili, "Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty," Energy, vol. 103, pp. 86-99, 2016. [DOI:10.1016/j.energy.2016.02.152]

34. [17] M. H. Kakueinejad, A. Heydari, M. Askari, and F. Keynia, "Optimal planning for the development of power system in respect to distributed generations based on the binary dragonfly algorithm," Applied Sciences, vol. 10, no. 14, p. 4795, 2020. [DOI:10.3390/app10144795]