Title :
The genetic algorithms in optimization of silicon clusters
Author :
Cai, Ziqiang ; Cao, Ququ ; Du, Shuyuan ; Ji, Xiao
Author_Institution :
Dept. of Electron. Sci. & Technol., HuaZhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
The optimization of molecular structure is a very difficult global optimize problem. As there are many parameters to describe the molecular, it is hard to find the global optimal without an appropriate algorithms. In this paper, we choose genetic algorithms (GA) to optimize the structure of silicon clusters. Compared to other algorithms, GA has a higher efficiency in finding the global optimal. We make some improvement to the former algorithms. The results prove what we have done is acceptable.
Keywords :
atomic clusters; elemental semiconductors; genetic algorithms; molecular configurations; silicon; Si; genetic algorithms; global optimal; global optimize problem; molecular structure optimization; silicon cluster optimization; silicon cluster structure; Algorithm design and analysis; Atomic measurements; Clustering algorithms; Genetic algorithms; Optimization; Silicon; Silicon clusters; crossover; genetic algorithms; mutation; optimization;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234750
