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Journals / Electrica / 2006 / Cilt: 6 Sayı: 2

ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS

Mimoun YOUNES
Mostafa RAHLI
Journal
Electrica
Pages
175–181
Publication Date
2012-01-02
DOI
—
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ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS

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Objective & Hypothesis:ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS
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Key Findings & Data:ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS
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Conclusion & Impact:ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Dispatching · Genetic algorithm (GA)

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ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS

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Cite This Article

YOUNES, M., RAHLI, M. (2012). ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS. Electrica, Cilt: 6 Sayı: 2, 175–181. https://ajindex.com/articles/1017665

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References (10)

  1. R. Fletcher, ” Practical Methods of Optimisation”, John Willey & Sons, 1986. M. Rahli, “Applied Linear and Nonlinear Programming to Economic Dispatch”, Ph.D. Thesis, Electrical Institute, USTO, Oran, Algeria, 1996. G.W. Stagg and A.H. E1 Abiadh.” Computer Methods in Power System Analysis” McGraw–Hill Book Company, New York (1968). D.M. Himmelblau. In: “Applied Non Linear Programming ” McGraw– Hill, New York (1972).
  2. M. Younes, M. Rahli and A. koridak., ”Dispatching Economique par l’intelligence Artificielle ”, Proceeding ICEL’2005,U.S.T. Oran, Algeria, Vol.02, pp.16-21,13-15 November 2005.
  3. Holand, J. H, " Adaptation in natural and Artificial Systems. " The university of Michigan press, Ann Arbor, USA, 1975. D. E. Goldberg ” Genetic Algorithms in Search, Optimization and Machine Learning”, Addison Wesley Publishing Company, Ind. USA, 1989. T. B¨ack, F. Ho_meister, and H.-P. Schwefel. A survey of Evolution Strategies. In R. Belew and L. Booker, editors, Proceedings of the fourth international conference on genetic algorithms, pages 2-9. Morgan Kaufmann: San Mateo, CA, 1991.
  4. L. Lai, J. T. Ma, R. Yokoma, M. Zhao ” Improved genetic algorithms for optimal power flow under both normal and contingent operation states” Electrical Power & Energy System, Vol. 19, N.5, pp. 287-292,
  5. B. S. Chen, Y. M. Cheng, C. H. Lee, ” A Genetic Approach to Mixed H2/H00 Optimal PID Control ”, IEEE Control system, pp. 59, October 1995
  6. M.Younes, M.Rahli: La Répartition Optimale des puissances en utilisant l’algorithme génétique,ICEEE’2004,
  7. Laghouat, April, 24-26,
  8. N. Sinha, R. Chakrabarti, and P. K. Chattopadhyay: Evolutionary programming techniques for economic load dispatch. IEEE Trans. Evol. Comput., vol. 7, no. 1, pp. 83–94, Feb. 2003.
  9. M.Younes, M.Rahli, H Koridak: Genetic/ Evolutionary Algorithms and application to power systems, PCSE’05, O. E. Bouaghi, May 9-, Univ, Algeria, 2005.
  10. Wong K.P., Wong Y.W., Genetic and genetic/simulated-annealing approaches to economic dispatch, IEE Proc. 141 (5) (1994) _/513.