Research on Logistic Distribution Routing Based on Improved Ant Colony Algorithm

DOI

10.2991/icmmcce-15.2015.222How to use a DOI?

Keywords

logistic distribution; ant colony algorithm; route solution

Abstract

Logistic distribution is one the most important parts in logistic industry, its core is to get the shortest transportation route of car. This paper makes mathematical modeling on distribution route of logistic car, constructs target function and constraint condition. It makes analysis on realization and mathematical modeling of the traditional ant colony algorithm. As for the shortcomings of traditional ant colony algorithm, this paper puts forward to apply genetic algorithm into improved ant colony algorithm of its route option, and it also gives detailed realization steps. It makes simulation experiment under experiment environment and analyzes performance of traditional ant colony algorithm and improved ant colony algorithm through comparison and analysis of experiment technology data. The experiment indicates that the improved ant colony algorithm has higher astringency and search function in aspect of exploring logistic distribution logistics.

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  - Jun Zheng
PY  - 2015/12
DA  - 2015/12
TI  - Research on Logistic Distribution Routing Based on Improved Ant Colony Algorithm
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.222
DO  - 10.2991/icmmcce-15.2015.222
ID  - Zheng2015/12
ER  -