用演化算法优化变分参数  

By using an evolutionary algorithm to optimize variation parameters

作　　者：徐静雯[2] 刘莲君[1] 毛有东[1] 赵力 尹东 李元香[2] 

机构地区：[1]武汉大学物理系 [2]武汉大学软件工程国家重点实验室,武汉430072

出　　处：《原子与分子物理学报》2000年第2期343-348,共6页Journal of Atomic and Molecular Physics

基　　金：中国科学院武汉物理所波谱与原子分子物理国家重点实验室开放基金资助课题

摘　　要：强外场中类He体系基态能的计算是非常复杂和困难的 ,利用MCI方法将体系的状态波函数用later基展开 ,用演化算法优化波函数中的变分参数 ,再求解相应的定态Schr dinger方程 ,获得了类He体系基态能高精度的结果 ,该工作表明由于使用了演化算法获得了最优参数 ,从而正确地确定了一组基 。It's very difficult to calculate the accurate ground state energies of systems like helium in the strong magnetic field. In this paper we firstly adopt MCI method to spread the state wave function with Slater bases, then secondly use evolutionary algorithm to optimize its variation parameters, last resolve the definite state Schrdinger equation to obtain the better results of this system. The results show that because of applying the evolutionary algorithm to obtain the best parameters, we can correctly confirm a group of bases. It has an important effect in veracity and reliability of calculating the gound state energy of systems like helium.

关 键 词：变分参数 基态能量 演化算法 优化 多电子原子 

分 类 号：O562.1[理学—原子与分子物理]