编写了两种随机搜索算法的运算程序，采用不同待估参数初始输入范围进行了数值实验。
The procedures of these two algorithms are programmed with VB computer language. With different ranges of initial guess value of aquifer parameters, numerical experiments are conducted.
对于高维复杂函数，传统的确定性算法易陷入局部最小，而单一的全局随机搜索算法收敛速度慢。
For complex functions with high dimensions, canonical optimization methods are easy to be trapped in local minima and simple random search methods are slow on convergence.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
应用推荐