Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

A New Ant Colony Algorithm for Deep Sea Sparse Network

Authors
Hongning Hu, Zixi Tian
Corresponding Author
Hongning Hu
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.65How to use a DOI?
Keywords
Ant colony algorithm; "Smell" pheromone; Deep sea sparse network.
Abstract
Inspired by the biological habits of ants, the paper proposes a new routing algorithm for deep sea sparse networks without geographical location information. After absorbing the essence of the traditional ant colony algorithm, the new algorithm introduces the "smell" pheromone into the path construction. The simulation results show that the new algorithm can solve the problem of finding a path in deep sea sparse network, and will have a perfect application prospect.
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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.65How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongning Hu
AU  - Zixi Tian
PY  - 2016/09
DA  - 2016/09
TI  - A New Ant Colony Algorithm for Deep Sea Sparse Network
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 357
EP  - 362
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.65
DO  - https://doi.org/10.2991/iccia-16.2016.65
ID  - Hu2016/09
ER  -