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中国物理学会期刊

单母体遗传算法优化(H2O)n(n≤14)的结构

CSTR: 32037.14.aps.56.2553

Global geometry optimization of water clusters (H2O)n≤14)using a single-parent genetic algorithm

CSTR: 32037.14.aps.56.2553
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  • 在传统遗传算法的基础上提出了单母体遗传算法(single-parent genetic algorithm, SPGA),通过对母体团簇实施两种不同的变异操作对结构进行优化,给出了分子团簇结构优化的算法实现. 结合TIP3P模型势函数,研究了水分子团簇(H2O)n(n≤14)的稳定结构. 优化结构和已有理论及实验结果一致. 计算结果表明当nn增加较快;当n≥8时有小的起伏. n=4,8,10,12的团簇结构具有较高对称性,比较稳定.

     

    A single-parent genetic algorithm (SPGA) is developed from the traditional genetic algorithm to optimize cluster structures. Two mutation operators are used to find the global minimum on the potential surface. The algorithm for optimizing the structure of molecule clusters is proposed. Combined with the TIP3P potential energy, the structures of water clusters (H2O)n(n≤14) is studied using SPGA. The stable structures obtained are in complete agreement with the reported results obtained theoretically and experimentally. The calculation results show that SPGA is an efficient and reliable method to find the global minimum structure of molecular clusters.

     

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