Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

Application of improved ant colony algorithm in vehicle scheduling problem

Authors
Jinguo Wang, Na Wang, Haichun Ma
Corresponding Author
Jinguo Wang
Available Online October 2015.
DOI
https://doi.org/10.2991/icadme-15.2015.391How to use a DOI?
Keywords
Vehicle Scheduling. Ant Colony Algorithm. Pheromone.
Abstract

In this paper, the ant colony algorithms is studied, and improve the shortcomings of the algorithm, And the improved algorithm is introduced into the field of logistics transportation. Aiming at the complexity and uncertainty of logistics transportation vehicle scheduling problem, a new algorithm is designed. The experimental results show that the improved algorithm can choose the transport route, speed up the transportation speed, improve the service quality, reduce the transportation cost and increase economic benefits.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2015
ISBN
10.2991/icadme-15.2015.391
ISSN
2352-5401
DOI
https://doi.org/10.2991/icadme-15.2015.391How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jinguo Wang
AU  - Na Wang
AU  - Haichun Ma
PY  - 2015/10
DA  - 2015/10
TI  - Application of improved ant colony algorithm in vehicle scheduling problem
BT  - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
PB  - Atlantis Press
SP  - 2095
EP  - 2098
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-15.2015.391
DO  - https://doi.org/10.2991/icadme-15.2015.391
ID  - Wang2015/10
ER  -