The Application Research of Ant Colony Algorithm for Prediction of Bridge Deflection

DOI

10.2991/cnci-19.2019.51How to use a DOI?

Keywords

Prediction of bridge deflection, ant colony algorithm, path selection, information function, heuristic function.

Abstract

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.

Copyright

© 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/).

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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  -