Goods distribution route optimization method for warehousing and logistics industry

DOI

10.2991/icecee-15.2015.207How to use a DOI?

Keywords

logistics distribution; route selection; hybrid ant colony algorithm;

Abstract

in the current study of goods distribution route optimization method in the industry of warehousing and logistics, because the current algorithm for route optimization have sluggish searching speed, and vulnerable to be involved in local optimal solution, a goods distribution route optimization method is raised for warehousing and logistics industry founded on hybrid ant colony algorithm. The method first carries on the detailed analysis for goods distribution route optimization, the mathematical model for optimizing goods distribution route is constructed, ant colony algorithm is brought up to resolve the model, and the quantum computation theory is incorporated to proceed quantum bit encoding for the pheromone on the route, quantum rotation gate and the optimal route are utilized to update the pheromone, and then effectively complete the optimization of goods distribution route for warehousing and logistics industry. Simulation results demonstrate that the goods distribution route optimization method based on hybrid ant colony algorithm for warehousing and logistics industry has strong global search ability and convergence speed, can excellently resolve the problem occurred in logistics distribution route.

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  - Jing Li
PY  - 2015/06
DA  - 2015/06
TI  - Goods distribution route optimization method for warehousing and logistics industry
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1098
EP  - 1102
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.207
DO  - 10.2991/icecee-15.2015.207
ID  - Li2015/06
ER  -