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Large Scale Multi-depot Logistics Routing Optimization based on Network Voronoi Diagram
Due to multi-constraints and multi-objectives, the optimization for large scale multi-depot logistics routing problem is very difficult. This paper proposed a spatial
heuristicsalgorithm based on the network Voronoi diagram. From the spatial perspective, two involved spatial issues in the multi-depot logistics routing problem are service
area partitionand routing optimization.By using of depots’network Voronoi diagram, service areais coarsely partitioned and refinedaccordingto the goods storage in each
depot. For the routing optimization, the local search space is limited within the spatial neighbors of customers. The proposed heuristics minimizesthe used vehicles number
and the total routes length.An experiment on several large scale logistics distribution instances in Shenzhen, China was implemented to validate the performance of the
proposed heuristics algorithm. Results indicated that itprovided high quality solution for large scale instances with 6400 customersin no more than 15 minutes. The proposed
heuristics algorithm could be widely used in e-commerce, express delivery,public utility in city to promote logistics efficiency.
TU Wei LI Qingquan FANG Zhixiang . Large Scale Multi-depot Logistics Routing Optimization based on Network Voronoi Diagram[J]. Acta Geodaetica et Cartographica Sinica, 2014 , 43(10) : 1075 -1082 . DOI: 10.13485/j.cnki.11-2089.2014.0153
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