DocumentCode
2728064
Title
Research on optimization of vehicle routing based on Hopfield neural network
Author
Wei, Meng ; Bin, Yu
Author_Institution
Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
fYear
2011
fDate
15-17 July 2011
Firstpage
157
Lastpage
159
Abstract
The optimization of vehicle routing is essentially a constraint-based shortest path problem, which can be resolved by Hopfield-based neural network. This paper proposes a vehicle routing optimization algorithm based on Hopfield, which can offer a solution for logistics distribution routing quickly under the circumstance of the given distribution position and cargo amount. Experimental results have shown that the algorithm has advantages in fast convergence and accurate computation, etc.
Keywords
Hopfield neural nets; graph theory; logistics; optimisation; production engineering computing; Hopfield-based neural network; constraint-based shortest path problem; logistics distribution routing; vehicle routing optimization algorithm; Algorithm design and analysis; Heuristic algorithms; Hopfield neural networks; Neurons; Optimization; Routing; Vehicles; Hopfield neural netwrok; VRP; combinatorial optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982278
Filename
5982278
Link To Document