基于混合遗传算法的红兴隆分局水资源优化配置

iming at the uneven distribution of Hongxinglong branch bureau water resources and the problems about low efficiency of the tradition optimization algorithm, the authors did research on the water resource optimization model. By using the large system decomposition coordination theory, the paper established the multi-objective optimization of Hongxinglong branch bureau water resources based on mixed genetic algorithm in different planning years(2015,2020), with the largest economic,social, environmental benefits, and the water supply, water demand, water quality as the constraint conditions. It carried out that agricultural water is the main cause for Hongxinglong branch bureau water resources shortage, and should be sufficient utilizating of passing-by water and reducing local groundwater, surface water exploitation. But the water shortages of planning years had been improved by the reasonable optimization. In addition, the mixed genetic algorithm overcome the weakness of the tradition optimization algorithm, so the efficiency had greatly improved.