The generalized simulated annealing algorithm in the low energy electron diffraction search problem
The generalized simulated annealing algorithm in the low energy electron diffraction search problem
复制标题
DOI：
10.1088/0953-8984/17/1/001
复制
发表时间：
2005-01-12
影响因子：
2.7
通讯作者：
de Carvalho, VE
中科院分区：
文献类型：
--
作者：
Correia, ED;Nascimento, V;de Carvalho, VE
在这项工作中，我们提出的结果有关的应用广义模拟退火（GSA）算法的LEED搜索问题。通过将该算法应用于结构搜索以优化CdTe（110）系统的理论-理论比较中的两到十个参数，研究了访问分布函数（由所谓的qv参数定义）对该方法有效性的影响。结果，得到的缩放关系和概率的收敛作为一个函数的参数的数量是不同的，表明快速模拟退火（FSA）（qv = 2.0）的方法作为最佳的搜索机。
We present in this work results concerning the application of the generalized simulated annealing (GSA) algorithm to the LEED search problem. The influence of the visiting distribution function (defined by the so-called qv parameter) in the effectiveness of the method was investigated by the application of the algorithm to structural searches for optimization of two to ten parameters in a theory-theory comparison for the CdTe(110) system. Results, obtained with the scaling relation and probability of convergence as a function of the number of parameters to be varied, indicate the fast simulated annealing (FSA) (qv = 2.0) approach as the best search machine.