关键词: 模拟退火, 遗传算法, 地下水, 参数估计

Abstract: When the parameters of groundwater flow model are estimated, in order to see the real movement, optimization algorithm is used to count the approximate solution. Based on the traditional simulated annealing algorithm, an improved simulated annealing genetic algorithm is proposed. The new algorithm assimilates the advantage of genetic algorithm for the capability of global searching and best individual protection. It avoids earliness and strengthens the property of local searching. Taking 2D unsteady state flows in anisotropy confined aquifer for example, it estimates the parameters of groundwater flow model. The result indicates that the new algorithm avoids the disadvantage of low convergence rate and excessive iterations, possesses the advantages of high precision and parallelism.

Key words: simulated anneal, genetic algorithm, groundwater, parameter estimation