A Language Geographical Distribution Algorithm Based on Ant Colony Optimization
Authors
Hong Chen, Wensheng Zhang, Zhijian Zhao, Haozhe Liu
Corresponding Author
Hong Chen
Available Online May 2018.
- DOI
- 10.2991/meees-18.2018.72How to use a DOI?
- Keywords
- Ant Colony; Pheromones; Migration model.
- Abstract
This article uses the ant colony algorithm to study the distribution change of languages in various regions under the same time period. We combined the neural network algorithm and made the population flow gradient as the main basis of pheromones to establish a world language distribution dynamic model.
- Copyright
- © 2018, 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 - Hong Chen AU - Wensheng Zhang AU - Zhijian Zhao AU - Haozhe Liu PY - 2018/05 DA - 2018/05 TI - A Language Geographical Distribution Algorithm Based on Ant Colony Optimization BT - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018) PB - Atlantis Press SP - 411 EP - 414 SN - 2352-5401 UR - https://doi.org/10.2991/meees-18.2018.72 DO - 10.2991/meees-18.2018.72 ID - Chen2018/05 ER -