Identifying aquifer parameters based on the decimal strings genetic algorithm

The problem of aquifer parameter identification is actually a complex nonlinear program. With the limit of the ability of convergence of the binary strings genetic algorithm, the decimal strings genetic algorithm is proposed for identifying the aquifer parameters. An application of decimal strings genetic algorithm for aquifer parameter identification is discussed as an example of the well model near the linear impervious boundary, and compared with the binary strings algorithm. Application of the method to the published data shows the proposed method is not only applicable,but has higher accuracy and better deter minacy.It is also shown from this paper that compared to the binary strings genetic algorithm,the decimal strings genetic algorithm can be natural to represent the problem to be studied,easy to introduce relative area know ledge,and has high efficiency,especially for multi-dimensional optimization problem.