A Novel Model and Algorithm for Solving Dynamic Vehicle Routing Problem on Goods Distribution
Abstract:
For it is very difficult and complex to solve large-scale
dynamic vehicle routing problem on distribution goods, propose the multi-objective
optimization Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) model
for distribution goods, which maximizes the number of customer serviced, minimizes
customer waiting time and the total vehicle driving distance and covers dynamic
information both random demand and dynamic network. Then a two stage algorithm
model based on hill-climbing and genetic hybrid algorithm is designed to solving
DVRPTW. At last, we do the simulation experiment with standard test data from
Solomon and the result shows that this model and algorithm is quite capable
of solving the dynamic vehicle routing problem on distribution goods.
How to cite this article
Wang Qiuyun, Jiang Wenbao and Zhao Gang, 2013. A Novel Model and Algorithm for Solving Dynamic Vehicle Routing Problem on Goods Distribution. Journal of Applied Sciences, 13: 5410-5415.
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