Vehicle Routing Optimization for Logistics Distribution based on Artificial Fish-swarm Algorithms

DOI

10.2991/asei-15.2015.365How to use a DOI?

Keywords

logistics distribution; vehicle routing problem; artificial fish-swarm algorithm.

Abstract

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.

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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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  -