Application of Multi-Objective Teaching Learning based Optimization Algorithm to Optimal Power Flow Problem
Author:
Publisher
Elsevier BV
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference14 articles.
1. C. Coello, 1999. “A comprehensive survey of evolutionary-based multiobjective optimization techniques,”Knowl. Inf. Syst.,vol.1, no.3,pp. 129-156.
2. J. Momoh, M. El-Hawary, and R. Adapa, 1999. “A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches,” IEEE Trans. Power Syst., vol. 14, no. 1, pp. 96-104. K. Deb, 2001. “Multi-objective optimization using evolutionary algorithms”, Wiley.
3. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, 2002. “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE transactions on evolutionary computation, vol. 6, no. 2, pp. 182-197.
4. K. Lee, Y. Park, and J. Ortiz, 1985 “A united approach to optimal real and reactive power dispatch,” IEEE Transactions on Power Apparatus and Systems, pp. 1147-1153.
5. M.A. Abido, 2003 “A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch,” International Journal of Electrical Power & Energy Systems, vol. 25, no. 2, pp. 97-105.
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