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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057643
