The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs

Zhong Denghua,Xiong Kaizhi,Cheng Liqin

Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (9) : 22 -26.

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Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (9) : 22 -26.
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The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs

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Abstract

Genetic algorithms search for the optimal solution by continually improving the individual of the population. Because of the difficulty in convergence and solving of individual fitness, standard genetic algorithm (SGA) is not used widely. Based on the improvement of SGA, especially the improvement of the selection operator in SGA, a new genetic algorithm(AGA) is proposed to solve the problems about the optimal operation of reservoirs. A new coding method is presented which is based on the subscript sequence of reservoir capacity array other than the water level sequence. An engineering example illustrates that AGA is much more efficient than SGA, and also the new coding method predigests the course of genetic algorithm in the optimal operation of reservoirs.

Keywords

genetic algorithm / improvement / reservoir / optimal operation

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Zhong Denghua,Xiong Kaizhi,Cheng Liqin. The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs. Strategic Study of CAE, 2003, 5(9): 22-26 DOI:

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