Research on the security of railway dangerous goods station based on rough ACO algorithm

Author

Chen Dingjun

Author_Institution

Key Lab. of Numerical Simulation of Sichuan Province, Neijiang Normal Univ., Neijiang, China

Volume

2

fYear

2010

fDate

25-27 June 2010

Abstract

By analyzing the impact factors of railway dangerous goods station, there are so many indexes of impact factors that not easy to grasp the key factors. We use the rough ant colony algorithm to attribute reduction for simplify the indexes in this paper. Then the attribute significance of rough set is applied to allocate weight coefficient for the reduced factor indexes with more objective way, which overcomes the subjective factor of the traditional method of determining the weight. That we can take effective measures focused on the important factors.

Keywords

optimisation; railway safety; rough set theory; attribute reduction; impact factors; railway dangerous goods station security; reduced factor indexes; rough ACO algorithm; rough ant colony algorithm; rough set; Algorithm design and analysis; Ant colony optimization; Computer security; Data security; Educational institutions; Information security; Laboratories; Numerical simulation; Rail transportation; Railway safety; ACO algorithm; attribute reduction; rough set; weight;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5541198

Filename

5541198