NDLI: Multi-depots distribution problem study based on rich network road model

Content Provider	IEEE Xplore Digital Library
Author	Chunlong Yao Guijun Zhang Beijin Zhang Siheng Zhong
Copyright Year	2013
Description	Author affiliation: Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China (Chunlong Yao; Guijun Zhang; Beijin Zhang; Siheng Zhong)
Abstract	The multi-depots distribution logistic is a particular combination of transportation and routing problems, in which items that have to be loaded into different customers within vehicles, and then delivered with minimum cost. In this paper, a model is built firstly and the weights between the target nodes are acquired based on actual network road by branch-and-cut and Dijkstra algorithms; Next, the idea of the evolutionary tree classification is used to solve the nonlinear cost variables in the distribution model. Extensive computational results show that the proposed algorithm are capable of solving to optimality for a large number of small-size instances, and consistently outperform previous algorithms from the literature on large-size and real-world instances.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	875
Ending Page	880
File Size	461949
Page Count	6
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	time optimal dijkstra algorithm Roads Heuristic algorithms Support vector machine classification path optimal rich network model Linear programming linear programming Classification algorithms Logistics
Content Type	Text
Resource Type	Article

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