节点文献
用演化算法优化变分参数
By using an evolutionary algorithm to optimize variation parameters
【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 ,对类He体系基态能计算结果的准确性与可靠性方面起了重要作用
【Abstract】 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 Schrdinger 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.
【Key words】 variation parameter, ground state energy; MCI; evolutionary algorithm;
- 【文献出处】 原子与分子物理学报 ,CHINESE JOURNAL OF ATOMIC AND MOLECULAR PHYSICS , 编辑部邮箱 ,2000年02期
- 【分类号】O562.1
- 【下载频次】26