Considering the robustness and commonness, it uses the evolutionary algorithm to calculate the characteristic of H^- and He in outfield.The calculation for ground state energy of H^- and He can be converted to a problem of function optimization.At first the MCI method is adopted to deal with state wave functions of H^- and He, then the evolutionary algorithm calculates their ground state energies.Results show that it can obtain much more accurate results, and compared with other algorithms, it's more efficient.

A general approach based on evolutionary algorithms to inverse parameter identification problems of PDEs is introduced. The evolutionary algorithms is used for solving the inverse problem as an optimization problem. This approach can evolve the optimal coefficient estimation by genetic algorithms (GA) in the giving function space of unknown parameter from observation data objectively and automatically. The approach has also been applied to parameter identification problem of linear and quasi linear parabolic equations. The numerical results demonstrated the effectiveness of this method.