The Application Research of Ant Colony Algorithm for Prediction of Bridge Deflection
Xifeng Chen, Zefeng Chen, Shuangjian He, Xiaobo Feng
Available Online May 2019.
- 10.2991/cnci-19.2019.51How to use a DOI?
- Prediction of bridge deflection, ant colony algorithm, path selection, information function, heuristic function.
It is very difficult to predict bridge deflection deformation accurately due to a variety of complex factors. Based on the TSP Ant Colony Algorithm model, combined with the actual deflection of a bridge, the Ant Colony Algorithm model of deflection prediction has eventually been established after determining the similar path selection mechanism, reasonable information function, heuristic function, pheromone updating strategy, ant-searching and ant-predicting mechanism. The model is tested by two different stages of this bridge. The results show that the model has high prediction accuracy as well as strong applicability, which would open up a new way for prediction of bridge deflection.
- © 2019, 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 - Xifeng Chen AU - Zefeng Chen AU - Shuangjian He AU - Xiaobo Feng PY - 2019/05 DA - 2019/05 TI - The Application Research of Ant Colony Algorithm for Prediction of Bridge Deflection BT - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019) PB - Atlantis Press SP - 354 EP - 362 SN - 2352-538X UR - https://doi.org/10.2991/cnci-19.2019.51 DO - 10.2991/cnci-19.2019.51 ID - Chen2019/05 ER -