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The Scientific World Journal
Volume 2013 (2013), Article ID 159040, 9 pages
http://dx.doi.org/10.1155/2013/159040
Research Article

Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem

1Faculty of Mechanical, Electrical and Electronic Engineering, HCMC University of Technology (HUTECH), Ho Chi Minh City, Vietnam
2Department of Power Systems, HCMC University of Technology (HCMUT), Ho Chi Minh City, Vietnam
3University Technology Petronas, 31750 Tronoh, Perak, Malaysia

Received 31 August 2013; Accepted 1 October 2013

Academic Editors: H. Chen and G. Pajares

Copyright © 2013 Luong Le Dinh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

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  • Jiao Shi, Maoguo Gong, Wenping Ma, and Licheng Jiao, “A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar
  • T.H. Khoa, P.M. Vasant, M.S. Balbir Singh, V.N. Dieu, and Siew Chong Tan, “ Solving economic dispatch problem with valve-point effects using swarm-based mean–variance mapping optimization (MVMO S ) ,” Cogent Engineering, vol. 2, no. 1, pp. 1076983, 2015. View at Publisher · View at Google Scholar
  • Ricardo Pérez-Rodríguez, Arturo Hernández-Aguirre, and S. Jöns, “A continuous estimation of distribution algorithm for the online order-batching problem,” The International Journal of Advanced Manufacturing Technology, vol. 79, no. 1-4, pp. 569–588, 2015. View at Publisher · View at Google Scholar
  • Anthony Brabazon, Wei Cui, and Michael O’Neill, “The raven roosting optimisation algorithm,” Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Vijay Raviprabakaran, and Ravichandran Coimbatore Subramanian, “Enhanced ant colony optimization to solve the optimal power flow with ecological emission,” International Journal of System Assurance Engineering and Management, 2016. View at Publisher · View at Google Scholar
  • Hamid Saffari, Sadegh Sadeghi, Mohsen Khoshzat, and Pooyan Mehregan, “Thermodynamic analysis and optimization of a geothermal Kalina cycle system using Artificial Bee Colony algorithm,” Renewable Energy, vol. 89, pp. 154–167, 2016. View at Publisher · View at Google Scholar
  • A.N. Jha, B.K. Panigrahi, and Sheila Mahapatra, “Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability,” IET Generation, Transmission & Distribution, 2016. View at Publisher · View at Google Scholar
  • Karthika, and V. Suresh Kumar, “Artificial Bee Colony Algorithm-Based Shunt Active Filter for Sinusoidal Supply and Trapezoidal Supply,” Journal of Circuits, Systems and Computers, vol. 27, no. 1, 2018. View at Publisher · View at Google Scholar