Intelligent Renewable Energy Systems

62. Garcia J.A.M., and Mena A.J.G. (2013) Optimal distributed generation location and sizing using a modified teaching-learning based optimization algorithm. Int. J. Electr. Power Energy Syst. 50: 65-75.

63. Sultana U., Khairuddin A.B., Mokhtar A.S., Zareen N., and Sultana B. (2016) Grey wolf optimizer based placement and sizing of multiple distributed generation in the distribution system. Energy 111:525-536.

64. Devi S., and Geethanjali M. (2014) Application of modified bacterial foraging optimization algorithm for optimal placement and sizing of distributed generation. Expert Syst. Appl. 41(6):2772-2781.

65. Das B., Mukherjee V., and Das D. (2016) DG placement in radial distribution network by symbiotic organisms search algorithm for real power loss minimization. Appl. Soft Comput. 49:920-936.

66. Das B., Mukherjee V., and Das D. (2020) Student psychology based optimization algorithm: A new population based optimization algorithm for solving optimization problems. Adv. Engg. Soft. 146: 102804.

67. Sugantham P.N, Hansen N., Liang J.J., Deb K., Chen Y.P., Auger A., Tiwari S. (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Nanyang Technol. Univ., Singapore, Tech. Rep. KanGAL #2005005, IIT Kanpur, India.

68. Barik S., Das D., and Bansal R. C. (2020) DG investment and allocation in active distribution networks, in Uncertainties in Modern Power Systems, Editor-Ahmed F. Zobaa, Shady H.E. Abdel Aleem, Academic Press, Elsevier, pp. 343-394.

69. Clerc, Maurice (2010) Particle swarm optimization. John Wiley & Sons 93.

70. Rao, R. Venkata (2016) Teaching-learning-based optimization algorithm. In Teaching learning based optimization algorithm, Springer, Cham, pp. 9-39.

71. Liao, Tianjun, Daniel Molina, Marco A. Montes de Oca, and Thomas Stützle (2014) A note on bound constraints handling for the IEEE CEC’05 benchmark function suite. Evolutionary computation 22(2): 351-359.

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