Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Application of Ant Colony Algorithm Based on Optimization Parameters in Equipment Material Transport

Authors
Xi Li, Liyun Chen, Aizhen Liu, Sen Liu
Corresponding Author
Xi Li
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.63How to use a DOI?
Keywords
Ant colony algorithm, Parameters adjustment, Genetic algorithm
Abstract

In order to solve the path selection problem in the transport of equipment and materials, while improving the quality of solutions, this paper uses ant colony algorithm based on optimization parameters to achieve. Through genetic algorithm to solve the parameters of ant colony algorithm, resulting in a better performance parameters. The experimental results show that ant colony algorithm based on optimization parameters has been improved on path length and computation time than the traditional ant colony algorithm.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.63How to use a DOI?
Copyright
© 2013, 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  - Xi Li
AU  - Liyun Chen
AU  - Aizhen Liu
AU  - Sen Liu
PY  - 2014/05
DA  - 2014/05
TI  - Application of Ant Colony Algorithm Based on Optimization Parameters in Equipment Material Transport
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 259
EP  - 262
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.63
DO  - https://doi.org/10.2991/iccia.2012.63
ID  - Li2014/05
ER  -