Vehicle Routing Optimization for Logistics Distribution based on Artificial Fish-swarm Algorithms
- 10.2991/asei-15.2015.365How to use a DOI?
- logistics distribution; vehicle routing problem; artificial fish-swarm algorithm.
In this paper, a method is proposed to design the optimal vehicles routing scheme for the logistics distribution. By taking the distribution cost as the objective, the vehicle routing optimization model at the case of many clients and one distributing center is established with some reasonable assumption. The artificial fish-swarm algorithm (AFSA) is a new intelligent method, which is fit to solve the NP problems with high dimensions. The principle of AFSA is presented with regard to the vehicle routing optimization model. The example shows that the optimal delivery routes can be obtained by the AFSA effectively by comparing with the particle swarm optimization.
- © 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 - Li Zhao PY - 2015/05 DA - 2015/05 TI - Vehicle Routing Optimization for Logistics Distribution based on Artificial Fish-swarm Algorithms BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1832 EP - 1836 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.365 DO - 10.2991/asei-15.2015.365 ID - Zhao2015/05 ER -