DocumentCode :
532425
Title :
Application and research on Vehicle Routing Problem with Time Window based on dynamic adaptive ant colony algorithm
Author :
Hongling, Wang ; Yueshun, He ; Gang, Zheng
Author_Institution :
East China Inst. of Technol., Nanchang, China
Volume :
7
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Ant Colony Algorithm(ACO)has much more advantages in solving Vehicle Routing Problem with Time Window(VRPTW). However, with the increasing scale of the problem, ACO algorithm is liable to present some defects such as the long searching time and the high possibility of stagnation. To avoid these problems and solve the multi-objectives VRPTW problem, a new dynamic adaptive ACO algorithm which makes probability of the transfer and pheromone gene adapt to the searching process for optimality automatically is proposed in this paper. Simulation results show the adaptive ACO is very effective in solving VRPTW problem.
Keywords :
optimisation; search problems; transportation; vehicles; ACO algorithm; dynamic adaptive ant colony algorithm; multi-objectives VRPTW problem; searching process; time window; vehicle routing problem; Silicon; ACO; Adaptation; VRPTW; pheromone gene; transfer probability;
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.2010.5620501
Filename :
5620501
Link To Document :
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