DocumentCode
2560610
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
fYear
2012
fDate
29-31 May 2012
Firstpage
1247
Lastpage
1250
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location
Chongqing
ISSN
2157-9555
Print_ISBN
978-1-4577-2130-4
Type
conf
DOI
10.1109/ICNC.2012.6234750
Filename
6234750
Link To Document