Analysis on Catering Distribution Based on Ant Colony Algorithm

DOI

10.2991/ifmca-16.2017.127How to use a DOI?

Keywords

Catering distribution; Ant colony algorithm; MATLAB emulation; Improvement

Abstract

This paper conducts an analysis on feasibility of catering distribution based on ant colony algorithm and mainly sets initial parameters for relative programs, such as ant colony scale (number of ants) m, information element significance factor , heuristic function significance factor , information element volatilization factor , total information element releasing quantity Q, the maximum number of iterations, initial value of number of iterations. Based on the aforesaid, it establishes an emulation model based on customer satisfaction for the purpose of maximizing customer satisfaction and minimizing transportation cost and it applies MATLAB emulation to check and calculate distribution path. Result shows that adoption of ant colony algorithm will assist with reasonable distribution of transport capacity of restaurants and increase their profitability.

Copyright

© 2017, 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  - Lejian Zhang
AU  - Zongxiang Huang
AU  - Yide Ge
PY  - 2017/03
DA  - 2017/03
TI  - Analysis on Catering Distribution Based on Ant Colony Algorithm
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 815
EP  - 818
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.127
DO  - 10.2991/ifmca-16.2017.127
ID  - Zhang2017/03
ER  -