Title: The optimal operation model based on chaos genetic algorithm for hydropower station and its application
Abstract: By use of the properties of ergodicity,randomicity and regularity of chaos,a chaos genetic algorithm(CGA) based on float encoding is proposed to solve the optimal operation of hydropower reservoir.CGA adopts chaos optimization of the initialization to improve the species quality and utilizes the annealing chaotic mutation operator to replace the standard mutation operator in order to avoid the search being trapped in local optimum.Comparison of the results with the dynamic programming and the standard GA,CGA can significantly reduce the overall optimization time and improve the convergence quality,it has obvious advantages over the standard GA in convergence speed and solution quality.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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Cited By Count: 6
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