A. W. Bizuayehu, A. A. Sánchez de la Nieta, J. Contreras and J. P. S. Catalão, "Impacts of Stochastic Wind Power and Storage Participation on Economic Dispatch in Distribution Systems," in IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 1336-1345, July 2016
 S. Civanlar, J. J. Grainger, H. Yin, and S. S. H. Lee, “Distribution feeder reconfiguration for loss reduction,” IEEE Trans. Power Del., vol. 3, pp. 1217–1223, 1988.
 S. R. Rao, S. V. L. Narasimham, M. R. Raju, and A. S. Rao, “Optimal network reconfiguration of large-scale distribution system using harmony search algorithm,” IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1080–1088, Aug. 2011.
 Y. C. Huang, “Enhanced genetic algorithm-based fuzzy multi-objective approach to distribution network reconfiguration,” Proc. Inst. Elect. Eng., Gen., Transm., Distrib., vol. 149, no. 5, pp. 615–620, 2002.
 W. C. Wu and M. S. Tsai, “Application of enhanced integer coded particle swarm optimization for distribution system feeder reconfiguration,” IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1591–1599, Aug.
 A. Mendes, N. Boland, P. Guiney and C. Riveros, "Switch and Tap-Changer Reconfiguration of Distribution Networks Using Evolutionary Algorithms," in IEEE Transactions on Power Systems, vol. 28, no. 1, pp. 85-92, Feb. 2013.
 R. Srinivasa Rao, S. V. L. Narasimham, M. Ramalinga Raju and A. Srinivasa Rao, "Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm," in IEEE Transactions on Power Systems, vol. 26, no. 3, pp. 1080-1088, Aug. 2011.
 C. Ababei and R. Kavasseri, "Efficient Network Reconfiguration Using Minimum Cost Maximum Flow-Based Branch Exchanges and Random Walks-Based Loss Estimations," in IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 30-37, Feb. 2011.
 E. Azad-Farsani, M. Zare, R. Azizipanah-Abarghooee, H. Askarian-Abyaneh “A new hybrid CPSO-TLBO optimization algorithm for distribution network reconfiguration” Journal of Intelligent & Fuzzy Systems, Vol. 26, no. 5, pp. 2175-2184, 2014.
 T. Niknam, E. Azad Farsani, M. Jabbari, A new hybrid evolutionary algorithm based on new fuzzy adaptive PSO and NM algorithms for Distribution Feeder Reconfiguration, Energy Conversion and Management, vol. 54, Issue 1, pp. 7-16, February 2012.
 Y. Song, Y. Zheng, T. Liu, S. Lei and D. J. Hill, "A New Formulation of Distribution Network Reconfiguration for Reducing the Voltage Volatility Induced by Distributed Generation," in IEEE Transactions on Power Systems, vol. 35, no. 1, pp. 496-507, Jan. 2020.
 P. Meneses de Quevedo, J. Contreras, M. J. Rider and J. Allahdadian, "Contingency Assessment and Network Reconfiguration in Distribution Grids Including Wind Power and Energy Storage," in IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1524-1533, Oct. 2015.
 A. Kavousi-Fard, T. Niknam and M. Fotuhi-Firuzabad, "Stochastic Reconfiguration and Optimal Coordination of V2G Plug-in Electric Vehicles Considering Correlated Wind Power Generation," in IEEE Transactions on Sustainable Energy, vol. 6, no. 3, pp. 822-830, July 2015
 S. Tan, J. Xu and S. K. Panda, "Optimization of Distribution Network Incorporating Distributed Generators: An Integrated Approach," in IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2421-2432, Aug. 2013.
. Afshar A., Haddad O. B., Marino M. A, Adams B. J, “Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation”, Journal of the Franklin Institute. 344, pp. 52–462, 2007.
. A. Ghasemi, “A fuzzified multi objective Interactive Honey Bee Mating Optimization for Environmental/Economic Power Dispatch with valve point effect” International Journal of Electrical Power & Energy Systems, Vol. 49, pp. 308-321, July 2013.
. S. Mouassa; T. Bouktir, “Artificial bee colony algorithm for solving economic dispatch problems with non-convex cost functions” International Journal of Power and Energy Conversion, Vol.8 No.2. 2017.
. MH. Nazari, SH. Hosseinian, E. Azad-farsani, "A multi-objective LMP pricing strategy in distribution networks based on MOGA algorithm", Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6143-6154, 2019.
 Taher Niknam. "An efficient multi-objective HBMO algorithm for distribution feeder reconfiguration", Expert Systems with Applications, volume 38, Issue 3, March 2011, Pages 2878-2887.
. Papoulis .A, “Probability, Random Variables, and Stochastic Processes”,3rd ed. Boston, MA: McGraw-Hill, 1991.
. L. Wu, M. Shahidehpour, and T. Li, “Cost of reliability analysis based on stochastic unit commitment,” IEEE Trans. Power Syst., vol. 23, no. 3, pp. 1364–1374, Aug. 2008.
. T. Niknam, M. Zare and J. Aghaei, "Scenario-Based Multiobjective Volt/Var Control in Distribution Networks Including Renewable Energy Sources," in IEEE Transactions on Power Delivery, vol. 27, no. 4, pp. 2004-2019, Oct. 2012.
. K. Ch. Sharma, P. Jain, R.Bhakar, “Wind Power Scenario Generation and Reduction in Stochastic Programming Framework” Electric Power Components and Systems, Vol. (41) 3, 2013.
. T. Niknam, E. A. Farsani, M. Nayeripour, B. B. Firouzi “A new tribe modified shuffled frog leaping algorithm for multi‐objective distribution feeder reconfiguration considering distributed generator units” European Transactions on Electrical Power, 22 (3), 308-333, 2011.
. Chiou J, Chang C. “Variable scaling hybrid differential evaluation for solving network reconfiguration of distribution system”. IEEE Transactions on Power Systems, Vol. 20(2), pp. 668–674, 2005.
. Cheng H, Kou. CC. “Netwok reconfiguration in distribution system using simulated annealing”. Electrical PowerSystems Research, Vol. 29, pp. 227–238, 1994.
. Ahuja A, Das S, Pahwa “A. An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration”.IEEE Transactions on Power Systems, Vol. 22(3), pp. 1101–1111, 2007.
. E. Azad-Farsania, I. GoroohiSardoub, S. Abedini, “Distribution Network Reconfiguration based on LMP at DG connected busses using game theory and self-adaptive FWA” Energy. Vol. 215, Part B, 15 January 2021.
. Gembicki, F.W., Haimes, Y.Y.: ‘Approach to performance and sensitivity multi-objective optimization: the goal attainment method’, IEEE Trans. Autom. Control, 1975, 20, (6), pp. 769–771.