DocumentCode
1985992
Title
A new algorithm for logistics route selection problem based on improved genetic algorithm
Author
Jiang, QingChao ; Zhu, Jie ; Wu, ShuFang
Author_Institution
Inf. Eng. Dept., HeBei Software Inst., Baoding, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
505
Lastpage
508
Abstract
The route selection problem has become a hot topic in logistics this few years. How to shorten the route is the key to this point, the traditional algorithms have only consider the length of road. This paper proposed a new algorithm for logistics route selection problem based on clustering and genetic algorithm increases the possibility of gaining the global converging result, and the distance is also replaced by a weighted length based on road condition.
Keywords
genetic algorithms; pattern clustering; transportation; clustering algorithm; improved genetic algorithm; logistics route selection problem; road condition; weighted length; Algorithm design and analysis; Clustering algorithms; Encoding; Genetic algorithms; Global Positioning System; Logistics; Roads; clustering; genetic algorithm; route selection; weigh;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057643
Filename
6057643
Link To Document