Routing Optimization of Regional Logistics Vehicles Based on Distribution Information Matching-Reference-Cited by-同舟云学术

Routing Optimization of Regional Logistics Vehicles Based on Distribution Information Matching

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence - RICAI 2019
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Author:

Lu Wu¹,Youling Chen¹

Affiliation:

1. School of Mechanical Engineering, Chongqing University, Chong Qing, China

Funder

Fundamental Research Funds for Central Universities of the Central South University

National key research and development plan project

Publisher

ACM Press

Reference10 articles.

1. Palmer A (2007). The development of an integrated routing and carbon dioxide emissions model for goods vehicles. Cranfield, Bedfordshire, England, Cranfield University.

2. He Fang (2018). Optimization and Scheduling Simulation of Distribution Vehicle Routing in Logistics Area. Computer Simulation, 35(8), 331--334. (In Chinese)

3. Li Jin (2015). Study on Vehicle Routing Problems and Tabu Search Algorithm under Low-carbon Environment. Chinese Journal of Management Science, 23(10), 98--106. (In Chinese)

4. Madden W. and Black D. (2006). Vehicle routing and scheduling with time varying data. Journal of the Operational Research Society, 61(3), 515--522.

5. Kuo Y (2010). Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem. Computers & Industrial Engineering, 59(1), 157--165.

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