|dcterms.references|| Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, and R.
Seethapathy, “Optimal Renewable Resources Mix for
Distribution System Energy Loss Minimization,” IEEE Trans.
Power Syst., vol. 25, no. 1, pp. 360–370, Feb. 2010.
 D. Q. Hung, N. Mithulananthan, and R. C. Bansal, “Analytical
strategies for renewable distributed generation integration
considering energy loss minimization,” Appl. Energy, vol. 105,
pp. 75–85, 2013.
 D. Q. Hung, N. Mithulananthan, and R. C. Bansal, “Analytical
Expressions for DG Allocation in Primary Distribution
Networks,” IEEE Trans. Energy Convers., vol. 25, no. 3, pp.
814–820, Sep. 2010.
 D. D. Wu, M. Junjie, W. Yulong, and L. Yang, “Size and Location
of Distributed Generation in Distribution System Based on
Immune Algorithm,” Syst. Eng. Procedia, vol. 4, pp. 124–132,
 D. Zhang, Z. Fu, and L. Zhang, “Joint Optimization for Power Loss
Reduction in Distribution Systems,” IEEE Trans. Power Syst.,
vol. 23, no. 1, pp. 161–169, Feb. 2008.
 G. Naik, D. K. Khatod, and M. P. Sharma, “Optimal Allocation of
Distributed Generation in Distribution System for Loss
Reduction,” in International Proceedings of Computer Science
and Information Technology IPCSIT, 2012.
 A. K. Singh and S. K. Parida, “Selection of load buses for DG
placement based on loss reduction and voltage improvement
sensitivity,” in 2011 International Conference on Power
Engineering, Energy and Electrical Drives, 2011, pp. 1–6.
 L. Ramesh and S. Chowdhury, “Minimization of power Loss in
distribution networks by different techniques,” Int. J. Electr.
Electron. Eng., vol. 2, pp. 521–527, 2009.
 Y.-K. Wu, C.-Y. Lee, L.-C. Liu, and S.-H. Tsai, “Study of
Reconfiguration for the Distribution System With Distributed
Generators,” IEEE Trans. Power Deliv., vol. 25, no. 3, pp. 1678–
1685, Jul. 2010.
R. S. Rao, K. Ravindra, K. Satish, and S. V. L. Narasimham,
“Power Loss Minimization in Distribution System Using
Network Reconfiguration in the Presence of Distributed
Generation,” IEEE Trans. Power Syst., vol. 28, no. 1, pp. 317–
325, Feb. 2013.
A. Samui, S. Singh, T. Ghose, and S. R. Samantaray, “A Direct
Approach to Optimal Feeder Routing for Radial Distribution
System,” IEEE Trans. Power Deliv., vol. 27, no. 1, pp. 253–260,
 a. R. Jordehi, “Optimisation of electric distribution systems: A
review,” Renew. Sustain. Energy Rev., vol. 51, pp. 1088–1100,
S. Kalambe and G. Agnihotri, “Loss minimization techniques used
in distribution network: bibliographical survey,” Renew. Sustain.
Energy Rev., vol. 29, pp. 184–200, Jan. 2014.
R. J. Sarfi, M. M. a. Salama, and A. Y. Chikhani, “A survey of the
state of the art in distribution system reconfiguration for system
loss reduction,” Electr. Power Syst. Res., vol. 31, no. 1, pp. 61–
70, Oct. 1994.
L. Tang, F. Yang, and J. Ma, “A survey on distribution system
feeder reconfiguration: Objectives and solutions,” in 2014 IEEE
Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2014,
A. Y. Abdelaziz, F. M. Mohamed, S. F. Mekhamer, and M. A. L.
Badr, “Distribution system reconfiguration using a modified
Tabu Search algorithm,” Electr. Power Syst. Res., vol. 80, no. 8,
pp. 943–953, Aug. 2010.
H. Bagheri Tolabi, M. H. Ali, and M. Rizwan, “Simultaneous
Reconfiguration, Optimal Placement of DSTATCOM, and
Photovoltaic Array in a Distribution System Based on FuzzyACO Approach,” IEEE Trans. Sustain. Energy, vol. 6, no. 1, pp.
210–218, Jan. 2015.
S. Bruno, S. Lamonaca, M. La Scala, and U. Stecchi, “Integration
of optimal reconfiguration tools in advanced distribution
management system,” in 2012 3rd IEEE PES Innovative Smart
Grid Technologies Europe (ISGT Europe), 2012, pp. 1–8.
A. M. Eldurssi and R. M. O’Connell, “A Fast Nondominated
Sorting Guided Genetic Algorithm for Multi-Objective Power
Distribution System Reconfiguration Problem,” IEEE Trans.
Power Syst., vol. 30, no. 2, pp. 593–601, Mar. 2015.
J. Franco, M. Lavorato, M. J. Rider, and R. Romero, “An efficient
implementation of tabu search in feeder reconfiguration of
distribution systems,” in 2012 IEEE Power and Energy Society
General Meeting, 2012, pp. 1–8.
C. Gu, J. Ji, and L. Liu, “Research of immune algorithms for
reconfiguration of distribution network with distributed
generations,” in The 26th Chinese Control and Decision
Conference (2014 CCDC), 2014, pp. 2156–2160.
N. G. A. Hemdan, B. Deppe, M. Pielke, M. Kurrat, T. Schmedes,
and E. Wieben, “Optimal reconfiguration of radial MV networks
with load profiles in the presence of renewable energy based
decentralized generation,” Electr. Power Syst. Res., vol. 116, pp.
355–366, Nov. 2014.
E. Herazo, M. Quintero, J. Candelo, J. Soto, and J. Guerrero,
“Optimal power distribution network reconfiguration using
Cuckoo Search,” in 2015 4th International Conference on
Electric Power and Energy Conversion Systems (EPECS), 2015,
N. Kanwar, N. Gupta, K. R. Niazi, and A. Swarnkar, “Improved
meta-heuristic techniques for simultaneous capacitor and DG
allocation in radial distribution networks,” Int. J. Electr. Power
Energy Syst., vol. 73, pp. 653–664, Dec. 2015.
P. Kritavorn, T. Lantharthong, and N. Rugthaicharoencheep, “The
combined loss reduction approach to apply in distribution system
with distribution generation,” in TENCON 2014 - 2014 IEEE
Region 10 Conference, 2014, pp. 1–5.
S. Mehfuz and F. Rashid, “Ant colony system algorithm for optimal
network reconfiguration,” Int. J. Comput. Intell. Syst., vol. 7, no.
5, pp. 973–978, Sep. 2014.
M. N. M. Nasir, N. M. Shahrin, M. F. Sulaima, M. H. Jali, and M.
F. Baharom, “Optimum network reconfiguration and DGs sizing
with allocation simultaneously by using particle swarm
optimization (PSO),” Int. J. Eng. Technol., vol. 6, no. 2, pp. 773–
T. T. Nguyen and A. V. Truong, “Distribution network
reconfiguration for power loss minimization and voltage profile
improvement using cuckoo search algorithm,” Int. J. Electr.
Power Energy Syst., vol. 68, pp. 233–242, Jun. 2015.
S. Nie, X.-P. Fu, P. Li, F. Gao, C.-D. Ding, H. Yu, and C.-S. Wang,
“Analysis of the impact of DG on distribution network
reconfiguration using OpenDSS,” in IEEE PES Innovative Smart
Grid Technologies, 2012, pp. 1–5.
T. Niknam, A. Kavousifard, and J. Aghaei, “Scenario-based
multiobjective distribution feeder reconfiguration considering
wind power using adaptive modified particle swarm
optimisation,” IET Renew. Power Gener., vol. 6, no. 4, p. 236,
F. Nournejad, R. Kazemzade, and A. S. Yazdankhah, “A
multiobjective evolutionary algorithm for distribution system
reconfiguration,” in 16th Conference on Electrical Power
Distribution Networks (EPDC), 2011, pp. 1–7.
J. Olamei, T. Niknam, A. Arefi, and A. H. Mazinan, “A novel
hybrid evolutionary algorithm based on ACO and SA for
distribution feeder reconfiguration with regard to DGs,” in 2011
IEEE GCC Conference and Exhibition (GCC), 2011, no. 2, pp.
A. Saffar, R. Hooshmand, and A. Khodabakhshian, “A new fuzzy
optimal reconfiguration of distribution systems for loss reduction
and load balancing using ant colony search-based algorithm,”
Appl. Soft Comput., vol. 11, no. 5, pp. 4021–4028, Jul. 2011.
F. Scenna, D. Anaut, L. I. Passoni, and G. J. Meschino,
“Reconfiguration of electrical networks by an Ant Colony
Optimization algorithm,” IEEE Lat. Am. Trans., vol. 11, no. 1,
pp. 538–544, Feb. 2013.
N. H. Shamsudin, N. a Abidullah, a R. Abdullah, M. S. Mamat, and
M. F. Sulaima, “A new technique for the reconfiguration of radial
distribution network for loss minimization,” Int. J. Eng. Technol.,
vol. 6, no. 5, pp. 2488–2495, 2014.
N. H. Shamsudin, N. F. Omar, M. F. Sulaima, H. I. Jaafar, and A.
F. A. Kadir, “The Distribution Network Reconfiguration
Improved Performance of Genetic Algorithm Considering Power
Losses and Voltage Profile,” Int. J. Eng. Technol., vol. 6, no. 2,
pp. 1247–1258, 2014.
J. Shi, C. Wang, and P. An, “Loop-Based Coding Reactive Tabu
Search for Comprehensive Optimization in Distribution
Networks,” in 2011 Asia-Pacific Power and Energy Engineering
Conference, 2011, pp. 1–4.
J. Shi, C. Wang, P. An, and H. Zhu, “Comparision of coding
schemes for distribution networks reconfiguration,” in 2011 4th
International Conference on Electric Utility Deregulation and
Restructuring and Power Technologies (DRPT), 2011, no. 2009,
S. S. F. Souza, R. Romero, and J. F. Franco, “Artificial immune
networks Copt-aiNet and Opt-aiNet applied to the
reconfiguration problem of radial electrical distribution systems,”
Electr. Power Syst. Res., vol. 119, pp. 304–312, Feb. 2015.
M. F. Sulaima, M. N. M. Nasir, N. H. Shamsudin, M. Sulaiman,
and W. M. Dahalan, “Implementation of Modified EPSO
Technique in 69kV Distribution Network Reconfiguration for
Losses Reduction,” Int. J. Eng. Technol., vol. 7, no. 2, pp. 502–
S. Sultana and P. K. Roy, “Oppositional krill herd algorithm for
optimal location of capacitor with reconfiguration in radial
distribution system,” Int. J. Electr. Power Energy Syst., vol. 74,
pp. 78–90, Jan. 2016.
A. Swarnkar, N. Gupta, and K. R. Niazi, “Adapted ant colony
optimization for efficient reconfiguration of balanced and
unbalanced distribution systems for loss minimization,” Swarm
Evol. Comput., vol. 1, no. 3, pp. 129–137, Sep. 2011.
B. Tomoiagă, M. Chindriş, A. Sumper, R. Villafafila-Robles, and
A. Sudria-Andreu, “Distribution system reconfiguration using
genetic algorithm based on connected graphs,” Electr. Power
Syst. Res., vol. 104, pp. 216–225, Nov. 2013.
C. Wang, A. Zhao, H. Dong, and Z. Li, “An Improved Immune
Genetic Algorithm for Distribution Network Reconfiguration,” in
2009 International Conference on Information Management,
Innovation Management and Industrial Engineering, 2009, pp.
Xiaoli Meng, Limei Zhang, Pengwei Cong, Wei Tang, Xiaohui
Zhang, and Dechang Yang, “Dynamic reconfiguration of
distribution network considering scheduling of DG active power
outputs,” in 2014 International Conference on Power System
Technology, 2014, no. Powercon, pp. 1433–1439.
H. R. Esmaeilian and R. Fadaeinedjad, “Energy Loss Minimization
in Distribution Systems Utilizing an Enhanced Reconfiguration
Method Integrating Distributed Generation,” IEEE Syst. J., vol. 9,
no. 4, pp. 1430–1439, Dec. 2015.
W.-C. Wu and M.-S. Tsai, “Application of simple examination and
retrieval procedure in evolutionary algorithms for feeder
reconfiguration,” Eur. Trans. Electr. Power, vol. 21, no. 1, pp.
1054–1071, Jan. 2011.
T. Niknam, M. Zare, J. Aghaei, and E. A. Farsani, “A new hybrid
evolutionary optimization algorithm for distribution feeder
reconfiguration,” Appl. Artif. Intell., vol. 26, no. 1–2, pp. 182–
182, Jan. 2012.
T. Niknam, E. Azadfarsani, and M. Jabbari, “A new hybrid
evolutionary algorithm based on new fuzzy adaptive PSO and
NM algorithms for Distribution Feeder Reconfiguration,” Energy
Convers. Manag., vol. 54, no. 1, pp. 7–16, Feb. 2012.
A. A. A. Esmin and G. Lambert-Torres, “Application of particle
swarm optimization to optimal power systems,” Int. J. Innov.
Comput. Inf. Control, vol. 8, no. 3A, pp. 1705–1716, 2012.
E. Azad-Farsani, M. Zare, R. Azizipanah-Abarghooee, and H.
Askarian-Abyaneh, “A new hybrid CPSO-TLBO optimization
algorithm for distribution network reconfiguration,” J. Intell.
FUZZY Syst., vol. 26, no. 5, pp. 2175–2184, 2014.
K. D. Mistry and R. Roy, “Impact of demand response program in
wind integrated distribution network,” Electr. Power Syst. Res.,
vol. 108, pp. 269–281, Mar. 2014.
S. Chen, Z. Chen, X. Zhang, C. Su, and W. Hu, “Optimal reactive
power and voltage control in distribution networks with
distributed generators by fuzzy adaptive hybrid particle swarm
optimisation method,” IET Gener. Transm. Distrib., vol. 9, no.
11, pp. 1096–1103, Aug. 2015.
H. Liang, “An Improved Optimization Algorithm for Network
Skeleton,” Teh. Vjesn. Gaz., vol. 22, no. 6, pp. 1359–1363, 2015.
W.-T. Huang, T.-H. Chen, H.-T. Chen, J.-S. Yang, K.-L. Lian, Y.-
R. Chang, Y.-D. Lee, and Y.-H. Ho, “A Two-stage Optimal
Network Reconfiguration Approach for Minimizing Energy Loss
of Distribution Networks Using Particle Swarm Optimization
Algorithm,” Energies, vol. 8, no. 12, pp. 13894–13910, 2015.
R. Jabbari-Sabet, S.-M. Moghaddas-Tafreshi, and S.-S. Mirhoseini,
“Microgrid operation and management using probabilistic
reconfiguration and unit commitment,” Int. J. Electr. Power
Energy Syst., vol. 75, pp. 328–336, Feb. 2016.
B. R. Jouybari, M. Hosseini, and Z. Byagowi, “Optimal Placement
of Distributed Generators and Reconfiguration of Distribution
Systems for Loss Reduction Using Genetic Algorithm,” Int. Rev.
Electr. Eng., vol. 6, no. 2, B, pp. 1007–1012, 2011.
A. E. Milani and M. R. Haghifam, “An evolutionary approach for
optimal time interval determination in distribution network
reconfiguration under variable load,” Math. Comput. Model., vol.
57, no. 1–2, pp. 68–77, Jan. 2013.
A. Zidan and E. F. El-Saadany, “Distribution system
reconfiguration for energy loss reduction considering the
variability of load and local renewable generation,” Energy, vol.
59, pp. 698–707, Sep. 2013.
C. Wang and Y. Gao, “Determination of Power Distribution
Network Configuration Using Non-Revisiting Genetic
Algorithm,” IEEE Trans. Power Syst., vol. 28, no. 4, pp. 3638–
3648, Nov. 2013.
N. Gupta, A. Swarnkar, and K. R. Niazi, “Distribution network
reconfiguration for power quality and reliability improvement
using Genetic Algorithms,” Int. J. Electr. Power Energy Syst.,
vol. 54, pp. 664–671, Jan. 2014.
W. M. Dahalan, H. Mokhlis, R. Ahmad, A. H. Abu Bakar, and I.
Musirin, “Simultaneous Network Reconfiguration and DG Sizing
Using Evolutionary Programming and Genetic Algorithm to
Minimize Power Losses,” Arab. J. Sci. Eng., vol. 39, no. 8, pp.
6327–6338, Aug. 2014.
X. Lei, H. Wu, Y. Shi, and P. Shi, “Distribution network
reconfiguration based on parallel genetic membrane computing,”
J. Intell. Fuzzy Syst., vol. 29, no. 5, pp. 2287–2298, Aug. 2015.
T. Niknam, E. A. Farsani, M. Nayeripour, and B. B. Firouzi,
“Hybrid Fuzzy Adaptive Particle Swarm Optimization and
Differential Evolution Algorithm for Distribution Feeder
Reconfiguration,” Electr. Power Components Syst., vol. 39, no. 2,
pp. 158–175, Jan. 2011.
A. R. Malekpour, T. Niknam, A. Pahwa, and A. Kavousi Fard,
“Multi-Objective Stochastic Distribution Feeder Reconfiguration
in Systems With Wind Power Generators and Fuel Cells Using
the Point Estimate Method,” IEEE Trans. Power Syst., vol. 28,
no. 2, pp. 1483–1492, May 2013.
M. J. Kasaei, “Distribution Network Reconfiguration for Optimal
Operation of Distributed Generation with Ant Colony
Algorithm,” Prz. ELEKTROTECHNICZNY, vol. 88, no. 12A, pp.
A. Y. Abdelaziz, R. A. Osama, and S. M. Elkhodary, “Distribution
Systems Reconfiguration Using Ant Colony Optimization and
Harmony Search Algorithms,” Electr. Power Components Syst.,
vol. 41, no. 5, pp. 537–554, Mar. 2013.
S. Abazari and M. H. Soudejani, “A new technique for efficient
reconfiguration of distribution networks,” Sci. Iran., vol. 22, no.
6, pp. 2516–2526, 2015.
C. H. N. D. R. Barbosa, R. F. Alexandre, and J. A. De Vasconcelos,
“A practical codification and its analysis for the generalized
reconfiguration problem,” Electr. Power Syst. Res., vol. 97, pp.
19–33, Apr. 2013.
L. W. de Oliveira, E. J. de Oliveira, F. V. Gomes, I. C. Silva, A. L.
M. Marcato, and P. V. C. Resende, “Artificial Immune Systems
applied to the reconfiguration of electrical power distribution
networks for energy loss minimization,” Int. J. Electr. Power
Energy Syst., vol. 56, pp. 64–74, Mar. 2014.
M. N. Muhtazaruddin, J. J. Jamian, G. Fujita, M. a. Baharudin, M.
W. Wazir, and H. Mokhlis, “Distribution Network Loss
Minimization via Simultaneous Distributed Generation
Coordination with Network Reconfiguration,” Arab. J. Sci. Eng.,
vol. 39, no. 6, pp. 4923–4933, Jun. 2014.
F. R. Alonso, D. Q. Oliveira, and A. C. Zambroni de Souza,
“Artificial Immune Systems Optimization Approach for
Multiobjective Distribution System Reconfiguration,” IEEE
Trans. Power Syst., vol. 30, no. 2, pp. 840–847, Mar. 2015.
A. Botea, J. Rintanen, and D. Banerjee, “Optimal Reconfiguration
for Supply Restoration With Informed A* Search,” IEEE Trans.
Smart Grid, vol. 3, no. 2, pp. 583–593, Jun. 2012.
L. W. de Oliveira, F. D. S. Seta, and E. J. de Oliveira, “Optimal
reconfiguration of distribution systems with representation of
uncertainties through interval analysis,” Int. J. Electr. Power
Energy Syst., vol. 83, pp. 382–391, Dec. 2016.
S. S. F. Souza, R. Romero, J. Pereira, and J. T. Saraiva, “Artificial
immune algorithm applied to distribution system reconfiguration
with variable demand,” Int. J. Electr. Power Energy Syst., vol.
82, pp. 561–568, Nov. 2016.
S. . Nawaz, M. . Imran, A. K. . Sharma, and A. . Jain, “Optimal
feeder reconfiguration and DG placement in distribution
network,” Int. J. Appl. Eng. Res., vol. 11, no. 7, pp. 4878–4885,
Y. Lu, J. Wu, and L. Hao, “Multi-objective distribution network
reconfiguration with distributed generations based on improved
MOBPSO algorithm,” Dianli Xitong Baohu yu Kongzhi/Power
Syst. Prot. Control, vol. 44, no. 7, pp. 62–68, 2016.
M. R. Haghifam, A. Moradkhani, and S. M. Miri Larimi, “Riskbased reconfiguration of active electric distribution networks,”
IET Gener. Transm. Distrib., vol. 10, no. 4, pp. 1006–1015, Mar.
S. Chen, W. Hu, and Z. Chen, “Comprehensive Cost Minimization
in Distribution Networks Using Segmented-Time Feeder
Reconfiguration and Reactive Power Control of Distributed
Generators,” IEEE Trans. Power Syst., vol. 31, no. 2, pp. 983–
993, Mar. 2016.
T. Zhang, S. Shi, and X. Xu, “Distribution network reconfiguration
with distributed generation based on improved quantum binary
particle swarm optimization,” Dianli Xitong Baohu yu
Kongzhi/Power Syst. Prot. Control, vol. 44, no. 4, pp. 22–28,
H. . Yi, B. . Zhang, H. . Wang, Y. . Wu, G. . Yuan, and R. . Lü,
“Distribution network dynamic reconfiguration method for
improving distribution network’s ability of accepting DG,”
Dianwang Jishu/Power Syst. Technol., vol. 40, no. 5, pp. 1431–
A. A. Zidan, M. F. Shaaban, and E. F. El-Saadany, “Impacts of
Feeder Reconfiguration on Renewable Resources Allocation in
Balanced and Unbalanced Distribution Systems,” Electr. Power
Components Syst., vol. 44, no. 9, pp. 974–989, May 2016.
A. Asrari, S. Lotfifard, and M. Ansari, “Reconfiguration of Smart
Distribution Systems With Time Varying Loads Using Parallel
Computing,” IEEE Trans. Smart Grid, pp. 1–11, 2016.
C. Yan, Q. Luo, and Y. Chen, “An Efficient Hybrid Evolutionary
Optimization Algorithm combining Ant Colony Optimization
with Simulated Annealing,” Int. J. Digit. Content Technol. its
Appl., vol. 5, no. 8, pp. 234–240, Aug. 2011.
W. Hui, Z. Liang, W. Wei, Z. Fei-fan, J. Xiu, and Z. Hong,
“Distribution network reconstruction based on improved ant
colony algorithm of directional pheromones,” in The 27th
Chinese Control and Decision Conference (2015 CCDC), 2015,
Y. Xiang, J. Liu, M. Li, and W. Wang, “Two-stage Control
Strategy for Structure Optimization of Faulted Distribution
System with Distributed Generation,” Electr. Power Components
Syst., vol. 42, no. 6, pp. 595–604, Apr. 2014.
M. R. Nayak, “Optimal feeder reconfiguration of distribution
system with distributed generation units using HC-ACO,” Int. J.
Electr. Eng. Informatics, vol. 6, no. 1, pp. 107–128, 2014.
N. I. Voropai and B. . Bat-Undraal, “Multicriteria Reconfiguration
of Distribution Network with Distributed Generation,” J. Electr.
Comput. Eng., vol. 2012, pp. 1–8, 2012.
M. J. . Kasaei and H. . Norouzi, “Reconfiguration of distribution
network with dispersed generations based on ant colony
algorithm,” Int. Rev. Model. Simulations, vol. 4, no. 6, pp. 3113–
H. . Takano, J. . Murata, Y. . Maki, and M. . Yasuda, “Improving
the search ability of tabu search in the distribution network
reconfiguration problem,” J. Adv. Comput. Intell. Intell.
Informatics, vol. 17, no. 5, pp. 681–689, 2013.
A. Y. Abdelaziz, R. A. Osama, and S. M. El-Khodary,
“Reconfiguration of distribution systems for loss reduction using
the hyper-cube ant colony optimisation algorithm,” IET Gener.
Transm. Distrib., vol. 6, no. 2, p. 176, 2012.
H. a. Abdelsalam, A. Y. Abdelaziz, and V. Mukherjee, “Optimal
PMU placement in a distribution network considering network
reconfiguration,” in 2014 International Conference on Circuits,
Power and Computing Technologies [ICCPCT-2014], 2014, pp.
A. Ahuja, A. Pahwa, B. K. Panigrahi, and S. Das, “PheromoneBased Crossover Operator Applied to Distribution System
Reconfiguration,” IEEE Trans. Power Syst., vol. 28, no. 4, pp.
4144–4151, Nov. 2013.
W. An, Q. Zhou, X. Zhang, Y. Qin, and W. Chen, “An immune
genetic algorithm based approach for distribution system
reconfiguration,” in 2010 Sixth International Conference on
Natural Computation, 2010, pp. 92–95.
J. Chen, F. Zhang, and Y. Zhang, “Distribution Network
Reconfiguration Based on Simulated Annealing Immune
Algorithm,” Energy Procedia, vol. 12, pp. 271–277, 2011.
F. Wang, Y. Li, Q. Liu, and X. Ji, “A multi-agent Immune-based
Co-Taboo search algorithm for distribution network
reconfiguration,” in 2011 International Conference on Electrical
and Control Engineering, 2011, no. 3, pp. 953–956.
W. Wu and M. 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. 2011.
A. M. Othman, A. A. El-Fergany, and A. Y. Abdelaziz, “Optimal
Reconfiguration Comprising Voltage Stability Aspect Using
Enhanced Binary Particle Swarm Optimization Algorithm,”
Electr. Power Components Syst., vol. 43, no. 14, pp. 1656–1666,
G. Graditi, M. L. Di Silvestre, D. La Cascia, E. Riva Sanseverino,
and G. Zizzo, “On multi-objective optimal reconfiguration of MV
networks in presence of different grounding,” J. Ambient Intell.
Humaniz. Comput., vol. 7, no. 1, pp. 97–105, Feb. 2016.
 V. Farahani, B. Vahidi, and H. A. Abyaneh, “Reconfiguration
and Capacitor Placement Simultaneously for Energy Loss
Reduction Based on an Improved Reconfiguration Method,”
IEEE Trans. Power Syst., vol. 27, no. 2, pp. 587–595, May 2012.
 S. Garcia-Martinez and E. Espinosa-Juarez, “Reconfiguration of
power systems by applying Tabu search to minimize voltage sag
indexes,” in 2011 North American Power Symposium, 2011, pp.
 S. García-Martínez and E. Espinosa-Juárez, “Optimal
Reconfiguration of Electrical Networks by Applying Tabu Search
to Decrease Voltage Sag Indices,” Electr. Power Components
Syst., vol. 41, no. 10, pp. 943–959, Jul. 2013.
 P. Mitra and G. K. Venayagamoorthy, “Implementation of an
Intelligent Reconfiguration Algorithm for an Electric Ship’s
Power System,” IEEE Trans. Ind. Appl., vol. 47, no. 5, pp. 2292–
2300, Sep. 2011.
 C. Wang, Y. Liu, and Y. Zhao, “Application of dynamic
neighborhood small population particle swarm optimization for
reconfiguration of shipboard power system,” Eng. Appl. Artif.
Intell., vol. 26, no. 4, pp. 1255–1262, Apr. 2013.
 F. Shariatzadeh, C. B. Vellaithurai, S. S. Biswas, R. Zamora, and
A. K. Srivastava, “Real-Time Implementation of Intelligent
Reconfiguration Algorithm for Microgrid,” IEEE Trans. Sustain.
Energy, vol. 5, no. 2, pp. 598–607, Apr. 2014.
 H. Arasteh, M. S. Sepasian, and V. Vahidinasab, “An aggregated
model for coordinated planning and reconfiguration of electric
distribution networks,” Energy, vol. 94, pp. 786–798, 2016.
 H. . b Wu, X. . Lei, B. . Liu, Y. . Lu, and G. . Xu, “Membrane
computing based genetic algorithm for dynamic reconfiguration
of distribution network with dividing time and considering
electric vehicles and wind turbines,” Diangong Jishu
Xuebao/Transactions China Electrotech. Soc., vol. 31, no. 2, pp.
196–205 and 220, 2016.
 Z. Ghofrani-Jahromi, M. Kazemi, and M. Ehsan, “Distribution
Switches Upgrade for Loss Reduction and Reliability
Improvement,” IEEE Trans. Power Deliv., vol. 30, no. 2, pp.
684–692, Apr. 2015.
 J. Kennedy and R. Eberhart, “Particle swarm optimization,” in
Proceedings of ICNN’95 - International Conference on Neural
Networks, 1995, vol. 4, pp. 1942–1948.
 J. Kennedy and R. C. Eberhart, “A discrete binary version of the
particle swarm algorithm,” in 1997 IEEE International
Conference on Systems, Man, and Cybernetics. Computational
Cybernetics and Simulation, 1997, vol. 5, pp. 4104–4108.
 S. Su, C. Lu, R. Chang, and G. Gutierrez-Alcaraz, “Distributed
Generation Interconnection Planning: A Wind Power Case
Study,” IEEE Trans. Smart Grid, vol. 2, no. 1, pp. 181–189, Mar.
 S. Jazebi, M. Moghimi Haji, and R. A. Naghizadeh, “Distribution
Network Reconfiguration in the Presence of Harmonic Loads:
Optimization Techniques and Analysis,” IEEE Trans. Smart
Grid, vol. 5, no. 4, pp. 1929–1937, Jul. 2014.
 B. Amanulla, S. Chakrabarti, and S. N. Singh, “Reconfiguration
of Power Distribution Systems Considering Reliability and
Power Loss,” IEEE Trans. Power Deliv., vol. 27, no. 2, pp. 918–
926, Apr. 2012.
 J. H. Holland, “Adaptation in Natural and Artificial Systems,”
University of Michigan Press, Ann Arbor, 1975.
 A. Zidan, M. F. Shaaban, and E. F. El-Saadany, “Long-term
multi-objective distribution network planning by DG allocation
and feeders’ reconfiguration,” Electr. Power Syst. Res., vol. 105,
pp. 95–104, Dec. 2013.
 G. L. Storti, M. Paschero, A. Rizzi, and F. M. Frattale Mascioli,
“Comparison between time-constrained and time-unconstrained
optimization for power losses minimization in Smart Grids using
genetic algorithms,” Neurocomputing, vol. 170, pp. 353–367,
 S. H. Alemohammad, E. Mashhour, and M. Saniei, “A marketbased method for reconfiguration of distribution network,”
Electr. Power Syst. Res., vol. 125, pp. 15–22, Aug. 2015.
 V. C. do Nascimento, G. Lambert-Torres, C. I. de A. Costa, and
L. E. Borges da Silva, “Control model for distributed generation
and network automation for microgrids operation,” Electr. Power
Syst. Res., vol. 127, pp. 151–159, Oct. 2015.
 S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, “Optimization by
Simulated Annealing,” Science (80-. )., vol. 220, no. 4598, pp.
 F. Nournejad, R. Kazemzade, and A. S. Yazdankhah, “A
multiobjective evolutionary algorithm for distribution system
reconfiguration,” in 16th Conference on Electrical Power
Distribution Networks (EPDC), 2011, pp. 1–7.
 R. Belkacemi and A. Feliachi, “Multi-agent design for power
distribution system reconfiguration based on the artificial
immune system algorithm,” in Proceedings of 2010 IEEE
International Symposium on Circuits and Systems, 2010, pp.
 F. Glover, “Tabu Search—Part I,” ORSA J. Comput., vol. 1, no.
3, pp. 190–206, Feb. 1989.
 F. Glover, “Tabu Search—Part II,” ORSA J. Comput., vol. 2, no.
1, pp. 4–32, 1990.
 E. Espinosa Juarez and A. Hernandez, “An Analytical Approach
for Stochastic Assessment of Balanced and Unbalanced Voltage
Sags in Large Systems,” IEEE Trans. Power Deliv., vol. 21, no.
3, pp. 1493–1500, Jul. 2006.
 V. S. Santos, P. R. V. Felipe, J. R. G. Sarduy, N. a. Lemozy, A.
Jurado, and E. C. Quispe, “Procedure for Determining Induction
Motor Efficiency Working Under Distorted Grid Voltages,”
IEEE Trans. Energy Convers., vol. 30, no. 1, pp. 331–339, Mar.
 J. Candelo and H. Hernández, “Distributed Generation Placement
in Radial Distribution Networks using a Bat-inspired Algorithm,”
DYNA, vol. 82, no. 192, pp. 60–67, Aug. 2015.||