A New Ant Colony Algorithm for Deep Sea Sparse Network

DOI

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.

Copyright

© 2016, 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  - Hongning Hu
AU  - Zixi Tian
PY  - 2016/09
DA  - 2016/09
TI  - A New Ant Colony Algorithm for Deep Sea Sparse Network
BT  - Proceedings of the 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  - 10.2991/iccia-16.2016.65
ID  - Hu2016/09
ER  -