物流規劃
2016/04/27
        

Introduction: 

With the rapid developments of wireless communication technologies and mobile smart devices, people can search the goods information and buy them anytime anywhere. The change of shopping behavior leads to a large number of goods need to be transported and grows up the revenue of logistics. It is a challenge to satisfy real logistic constraints, such as the limitation of vehicle capacity and the available time windows of each customer. To solve this topic, there are a lot of methods wrer proposed. The Ant Colony Optimization is a suitable one I think...

Reference:

•Qiulei Ding et al., An improved ant colony optimization and its application to vehicle routing problem with time windows, Neurocomputing, 2012, p.101-107
•S.R. Balseiro et al., An Ant Colony algorithm hybridized with insertion heuristics for the Time Dependent Vehicle Routing Problem with Time Windows, Computer & Operations Research, 2011, p.954-966
•B. Tunjongsirigul and P. Pongchairerks, “A Genetic algorithm for a vehicle routing problem on a real application of Bakery delivery ”, International Conference on Electronic Computer Technology, p.214 – 217, 2010
•R.-M. Chen, F.-R. Hsieh and D.-S. Wu, “Heuristics based ant colony optimization for vehicle routing problem”, IEEE Conference on Industrial Electronics and Applications, p.1039 – 1043, 2012

 


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