References
- Basu, M. 2017. Fast convergence evolutionary programming for economic dispatch problems. IET Generation, Transmission & Distribution 11 (16):4009–17. doi:https://doi.org/10.1049/iet-gtd.2017.0275.
- Bhattacharya, A., and P. K. Chattopadhyay. 2010a. Biogeography-based optimization for different economic load dispatch problems. IEEE Transactions on Power Systems 25 (2):1064–77. doi:https://doi.org/10.1109/TPWRS.2009.2034525.
- Braisal, A. K., and R. C. Prusty. 2015. Large scale economic dispatch of power systems using oppositional invasive weed optimization. Applied Soft Computing 29 (4):122–37. doi:https://doi.org/10.1016/j.asoc.2014.12.014.
- Calin, S. D. 2016. A modified symbiotic organisms search algorithm for large scale economic dispatch with valve-point effects. Energy 113:366–84. doi:https://doi.org/10.1016/j.energy.2016.07.056.
- Chen, X. 2020. Novel dual-population adaptive differential evolution algorithm for large-scale multi-fuel economic dispatch with valve-point effects. Energy 203 (117874):2–15. doi:https://doi.org/10.1016/j.energy.2020.117874.
- Cheng, P. H., and H. C. Chang. 1995. Large scale economic dispatch by genetic algorithm. IEEE Transactions on Power Systems 10, (4):1919–26. doi:https://doi.org/10.1109/59.476058.
- Chiang, C.-L. 2005. Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE Transactions on Power Systems 20 (4):1690–99. doi:https://doi.org/10.1109/TPWRS.2005.857924.
- Coelho Leandro dos, S., T. C. Bora, and V. C. Mariani. 2014. Differential evolution based on truncated Levy-type flights and population diversity measure to solve economic load dispatch problems. Electrical Power and Energy Systems 57:178–88.
- Coelho Leandro dos, S., and V. C. Mariani. 2006. Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with value-point effect. IEEE Transactions on Power Systems 21 (2):989–95. doi:https://doi.org/10.1109/TPWRS.2006.873410.
- Coelho Leandro dos, S., and V. C. Mariani. 2010. An efficient cultural self-organizing migrating strategy for economic dispatch optimization with valve-point effect. Int J Energy Convers Manag 51 (12):2580–87. doi:https://doi.org/10.1016/j.enconman.2010.05.022.
- Das, B., V. Mukherjee, and D. Das. 2020. Student psychology based optimization algorithm: A new population based optimization algorithm for solving optimization problems. Advances in Engineering Software 146:102804. doi:https://doi.org/10.1016/j.advengsoft.2020.102804.
- Gaing, Z.-L. 2003. Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Transactions on Power Systems 18 (3):1187–95. doi:https://doi.org/10.1109/TPWRS.2003.814889.
- Hemamalini, S., and S. P. Simon. 2010. Artificial bee colony algorithm for economic load dispatch problem with non-smooth cost functions. Electric Power Component and Systems 38 (7):786–803. doi:https://doi.org/10.1080/15325000903489710.
- Jayabarathi, T., T. Raghunathan, B. R. Adarsh, and P. N. Suganthan. 2016. Economic dispatch using hybrid grey wolf optimize. Energy 111:630–41. doi:https://doi.org/10.1016/j.energy.2016.05.105.
- Kansal, V., and J. S. Dhillon. 2020. Emended salp swarm algorithm for multiobjective electric power dispatch problem. Applied Soft Computing Journal 90 (106172):1–26. doi:https://doi.org/10.1016/j.asoc.2020.106172.
- Kumar, M., and J. S. Dhillon. 2018. Hybrid artificial algae algorithm for economic load dispatch. Applied Soft Computing 71:89–109. doi:https://doi.org/10.1016/j.asoc.2018.06.035.
- Kumar, M., and J. S. Dhillon. 2019. A conglomerated ion-motion and crisscross search optimizer for electric power load dispatch. Applied Soft Computing Journal 83 (105641):1–29. doi:https://doi.org/10.1016/j.asoc.2019.105641.
- Meng, A., J. Li, and H. Yin. 2016. An efficient crisscross optimization solution to large-scale non-convex economic load dispatch with multiple fuel types and valve-point. Energy 113:1147–61.
- Modiri-Delshad, M., K. S. Hr, T.-R. E. Aghay, and N. ABD Rahim. 2016. Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options. Energy 116:637–49. doi:https://doi.org/10.1016/j.energy.2016.09.140.
- Mohammadi, F., and H. Abdi. 2018. A modified crow search algorithm (MCSA) for solving economic loaddispatch problem. Applied Soft Computing 71:51–65. doi:https://doi.org/10.1016/j.asoc.2018.06.040.
- Moradi-Dalvand, M., B. Mohammadi-Ivatloo, A. Najafi, and A. Rabiee. 2012. “Continuous quick group search optimizer for solving non-convex economic dispatch problems.” Electric.Power Systems Research 93:93–105. doi:https://doi.org/10.1016/j.epsr.2012.07.009.
- Park, J. B., Y. W. Jeong, J. R. Shin, and K. Y. Lee. 2010. An improved particle swarm optimization for nonconvex economic dispatch problems. IEEE Transactions on Power Systems 25 (1):156–66. doi:https://doi.org/10.1109/TPWRS.2009.2030293.
- Park, J. B., K. S. Lee, J. R. Shin, and K. Y. Lee. 2005. A particle swarm optimization for economic dispatch with nonsmooth cost function. IEEE Transactions on Power Systems 20 (1):34–42. doi:https://doi.org/10.1109/TPWRS.2004.831275.
- Pereira-Neto, A., C. Unsihuary, and O. R. Saavedra. 2005. Efficient evolutionary strategy optimization procedure to solve the nonconvex economic dispatch problem with generator constraints. IEE Proceedings Generation Transmission and Distribution 152 (5):653–60. doi:https://doi.org/10.1049/ip-gtd:20045287.
- Pothiya, S., I. Ngamroo, and W. Kongprawechnon. 2010. Ant colony optimization for economic dispatch problem with non-smooth cost functions. International Journal of Electrical Power & Energy Systems 32 (5):478–87. doi:https://doi.org/10.1016/j.ijepes.2009.09.016.
- Sakthivel, V. P., M. Suman, and P. D. Sathya. 2020. Squirrel search algorithm for economic dispatch with valve-point effects and multiple fuels. Energy Sources, Part B: Economics, Planning, and Policy 15: 6.
- Selvakumar, A. I., and K. Thanushkodi. 2007. A new particle swarm optimization solution to nonconvex economic dispatch problems. IEEE Transactions on Power Systems 22 (1):42–51. doi:https://doi.org/10.1109/TPWRS.2006.889132.
- Selvakumar, A. I., and K. Thanushkodi. 2009. Optimization using civilized swarm: Solution to economic dispatch with multiple minima. International Journal of Electrical Power & Energy Systems 79:8–16. doi:https://doi.org/10.1016/j.epsr.2008.05.001.
- Singh, D., and J. S. Dhillon. 2019. Ameliorated grey wolf optimization for economic load dispatch problem. Energy 169:398–419. doi:https://doi.org/10.1016/j.energy.2018.11.034.
- Sinha, N., R. Chakrabarti, and P. K. Chattopadhyay. 2003. Evolutionary programming techniques for economic load dispatch. IEEE Transactions on Evolutionary Computation 7 (1):83–94. doi:https://doi.org/10.1109/TEVC.2002.806788.
- Spea Shaimaa, R. 2020. Solving practical economic load dispatch problem using crow search algorithm. International Journal of Electrical and Computer Engineering (IJECE) 10 (4):3431–40. doi:https://doi.org/10.11591/ijece.v10i4.pp3431-3440.
- Sumanl, M., V. P. Sakthivel, and P. D. Sathya. 2020. Squirrel search optimizer: nature inspired metaheuristic strategy for solving disparate economic dispatch problems. International Journal of Intelligent Engineering and Systems 13 (5):111–21. doi:https://doi.org/10.22266/ijies2020.1031.11.
- Walter, D. C., and G. B. Sheble. 1993. Genetic algorithm solution of economic dispatch with valve point loading. IEEE Transactions on Power Systems 8:1325–32.
- Whei-Min, L., C. Fu-Sheng, and T. Ming-Tong. 2002. An improved Tabu search for economic dispatch with multiple minima. IEEE Transactions on Power Systems 17 (1):108–12. doi:https://doi.org/10.1109/59.982200.
- Yang, H. T., P. C. Yang, and C. L. Huang. 1996. Evolutionary programming based economic dispatch for units with nonsmooth fuel cost functions. IEEE Transactions on Power Systems 11:112–18.