改进的遗传算法在地下水数值模拟中的应用

地下水流数值模拟中的模型识别问题，可以转化为函数的最优化问题。鉴于遗传算法的特点，将之引入到地下水流数值法中，用以解决地下水数学模型的识别问题。在建立地下水数值模拟中模型识别问题的是优化模型后，采取将最优化模型中的目标函数嵌入到遗传算法适应度函数中的方法，实现遗传算法与地下水流数值法的耦合。基于优化模型和遗传算法的运算过程，编写计算程序，实现地下水数学模型的自动识别。根据在珲春盆地地下水资源评价实例中应用得到的结果，信纸证了改进的遗传算法在地下水数值模拟中应用的可行性与有效性。

THE APPLICATION OF IMPROVED GENETIC ALGORITHMS IN GROUNDWATER NUMERICAL SIMULATION

In the process of groundwater numerical simulation, the problem of the groundwater model calibration can be turned into a optimization problem. We try to induce the genetic algorithms to the groundwater numerical simulation for the groundwater model calibration. After the optimization groundwater model was constructed, we induced the object function of optimization groundwater model into the fitness function of genetic algorithms to couple the groundwater simulation with genetic algorithms. Based on the optimization model and the work process of genetic algorithms, the program was written to calibrate the groundwater model .With the real case of Hunchun basin' study, it is shown that application of improved genetic algorithms in groundwater mumerical simulation is feasible and available.