DocumentCode :
532587
Title :
Research on Vehicle Routing Problem based on hybrid artificial fish-school and genetic algorithm
Author :
Chen, Zi-Xia ; Lu, Yong-Min
Author_Institution :
Center for Res. in Modern Bus., Zhejiang Gongshang Univ., Hangzhou, China
Volume :
8
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Distribution is an important part to connect directly to the consumer in logistics system, optimizing the distribution system, can improve the logistics cost, and make logistics scientific,so optimization of distribution system is particularly important. For the optimization of distribution system,the optimization of vehicle scheduling is a key link. First of all,this article analyzes the vehicle scheduling problem in logistics distribution,and builds the correspondingly mathematical model. Then we design an artificial fish school algorithm and study how to mix the algorithm and genetic algorithm to solve the vehicle scheduling problem,Finally,simulation results demonstrate the combined algorithm has features of rapid solution, stable performance and so on.
Keywords :
genetic algorithms; goods distribution; logistics; set theory; genetic algorithm; hybrid artificial fish-school algorithm; logistic distribution system; mathematical model; vehicle routing problem; Vehicles; VRP problem; artificial fish school algorithm; genetic algorithm; logistics distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620788
Filename :
5620788
Link To Document :
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