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
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