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Complexity
Volume 2017 (2017), Article ID 8594792, 9 pages
https://doi.org/10.1155/2017/8594792
Research Article

Multiconstrained Network Intensive Vehicle Routing Adaptive Ant Colony Algorithm in the Context of Neural Network Analysis

1School of Public Administration, Guangdong University of Finance and Economics, Guangzhou, China
2Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, Guangzhou 510070, China
3Guangzhou Yuntu Information Technology Co., Ltd., Guangzhou 510532, China

Correspondence should be addressed to Yong Li; nc.ca.sadg@gnoyil and Jingfeng Yang; moc.621@gnaygnefgnij

Received 21 June 2017; Accepted 9 August 2017; Published 18 September 2017

Academic Editor: Yanan Li

Copyright © 2017 Shaopei Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Shaopei Chen, Ji Yang, Yong Li, and Jingfeng Yang, “Multiconstrained Network Intensive Vehicle Routing Adaptive Ant Colony Algorithm in the Context of Neural Network Analysis,” Complexity, vol. 2017, Article ID 8594792, 9 pages, 2017. doi:10.1155/2017/8594792