Research on military traffic and transportation path optimization based on genetic algorithm

Author

Lu Bang-jun ; Wang Tao ; Wu Lin-li

Author_Institution

Dept. of Transp., PLA, Bengbu, China

fYear

2011

fDate

19-22 Aug. 2011

Firstpage

1549

Lastpage

1551

Abstract

Based on the fuzzy programming, this paper puts forward fuzzy time optimal path concerning military traffic and transportation by building fuzzy chance-constraint programming and fuzzy dependent-chance programming. The methods based on genetic algorithm are designed and the problems of necessity node and prohibition node are also dealt with. Finally, an example shows that this algorithm is simple, effective and easy to be realized to provide useful information for military traffic and transportation path optimization.

Keywords

constraint handling; fuzzy set theory; genetic algorithms; military systems; transportation; forward fuzzy time optimal path; fuzzy chance-constraint programming; fuzzy dependent-chance programming; genetic algorithm; military traffic optimization; prohibition node; transportation path optimization; Biological cells; Equations; Genetic algorithms; Mathematical model; Optimization; Programming; Transportation; fuzzy programming; genetic algorithm; military traffic and transportation; optimal path;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on

Conference_Location

Jilin

Print_ISBN

978-1-61284-719-1

Type

conf

DOI

10.1109/MEC.2011.6025769

Filename

6025769