原子与分子物理学报2017，Vol.34Issue(6)：1040-1048,9.DOI:10.3969/j.issn.1000-0364.2017.06.009
金团簇结构的人工蜂群算法研究
The study of structures of gold clusters by artifical bee colony algorithm
摘要
Abstract
The structures, binding energies, average binding energies, averaged distances, symmetries, the first and second differences of energies about gold clusters Aun(n=2~100) have been investigated by the artificial bee colony algorithm ( ABC) in conjugation with the semi-empirical Gupta inter-atomic potential. The calcu-lated results show that:first, ABC algorithm has an excellent capability on looking for the global minimum value to the small or medium size clusters, the results from ABC are in good agreement with those from genetic algo-rithm ( GA) and dynamical lattice search ( DLS);With the increase of the size of cluster, the capability of loo-king for the global minimum value for the standard ABC becomes weaken gradually, similar to others. Second, three parameters proposed in the ABC algorithm have a direct effect to the optimized results, if the size of cluster n is less than 60,it is easy to find the optimum solution, in opposite, there is a good choice if you give a value with large iteration (gmax), a small or medium trial solutions (SN) and scout bees (glimit). Third, by compared to the results of the ABC and references, several structures with lower energy have been proposed and confirmed. In addition, the Au91 ~Au99 have been described systematically in the first time.关键词
金团簇/蜂群算法(ABC)/Gupta势/稳定结构Key words
Ggold clusters/Artificial bee colony algorithm ( ABC)/Gupta potentia/Stability structures分类
数理科学引用本文复制引用
王全武,李喜全,陈恒杰,张家伟..金团簇结构的人工蜂群算法研究[J].原子与分子物理学报,2017,34(6):1040-1048,9.基金项目
国家自然科学基金(11347024) （11347024）
重庆市科委自然科学基金(cstc2014jcyjA0030,cstc2016jcyjA0336) （cstc2014jcyjA0030,cstc2016jcyjA0336）
重庆市教委科学技术研究项目(KJ1601332,KJ1401313) （KJ1601332,KJ1401313）
重庆科技学院博士教授启动基金(ck2014B21) （ck2014B21）
