A New Ant Colony Algorithm for Deep Sea Sparse Network
Hongning Hu, Zixi Tian
Available Online September 2016.
- https://doi.org/10.2991/iccia-16.2016.65How to use a DOI?
- Ant colony algorithm; "Smell" pheromone; Deep sea sparse network.
- 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.
- 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 -