地表水水质评价模型及其遗传算法求解

The estimate model designed for the surface water quality and its solution with a genetic algorithm

以标准等级水体为样本点构造样本空间,借鉴无单元思想,建立带权的地表水水质评价模型.对模型中的参数,根据数据拟合的思想,将问题转化为一个非线性优化问题,然后利用遗传算法进行求解.用已知算例对评价模型的合理性进行对比检验,并将其成功应用于密云水库样本点水质的综合评价,最后将此模型推广到一般情形的评价问题.

The estimate model with weights for the surface water quality was set up,using for the idea of naught unit based on the sample space structrued with standard level of water samples.The parameter problem of the model could be transformed into a nonlinear optimization problem using for the idea of data fitting.The genetic algorithm was used to solve the weight of the model.A contrast test was done to check up the rationality of the model with an eaemple,and the model was applied successfully in the evaluation of sample point of Miyun reservoir.At the last,the model was promted to the general evaluation problems.