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Strategic Study of CAE >> 2003, Volume 5, Issue 9

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

Civil Engineering Academy of Tianjin University, Tianjin 300072, China

Funding project:国家自然科学基金(50179023);高等学校优秀青年教师教学科研奖励计划(2001667) Received: 2003-03-10 Available online: 2003-09-20

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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.

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