基于蜜蜂免疫进化算法的湖泊富营养化评价

Lake Eutrophic Evaluation Based on Bee Immune Evolutionary Algorithm

为建立对多个指标皆适用的湖泊富营养化评价模型,在对各营养状态指标值进行规范变换的基础上构建一个对多项指标的规范值均适用的湖泊营养状态的对数型幂函数指数公式,并采用蜜蜂免疫进化算法对公式中的参数进行优化,获得湖泊营养状态的对数型幂函数普适指数公式。将普适公式应用于武汉东湖10个湖区的营养状态评价分析,其评价结果与用幂函数加和型指数公式的评价结果完全一致,并与实际相符合,表明蜜蜂免疫进化算法用于富营养化评价模型中的参数优化是可行的。

In order to establish the lake eutrophic evaluation model for multiple indices,based on the gauge transformation,an index formula in the form of a logarithmic power function was proposed to design an eutrophic evaluation model for the ＇normalized values＇ of multi-indexes.The parameters in the formula were also optimized by bee immune evolutionary algorithm（BEIEA）.The universal index formula was suitable to multi-indices items for eutrophic evaluation.At the same time,the formula was applied to practical eutrophic evaluations in 10 regions of Dong Lake.The evaluation results were coincident with those obtained from the power function of weighted sums and also with actual conditions.It was shown that the bee immune evolutionary algorithm was suitable to the parameter optimization in the eutrophic evaluation model.