| Title |
Research On Optimization And Simulation Of Fire Emergency Evacuation Path Based On Improved Ant Colony Algorithm For Large Public Buildings |
| ID_Doc |
45533 |
| Authors |
Jia S.; Zhao L.; Yang D.; Sun L.; Liang B. |
| Year |
2023 |
| Published |
Proceedings - 2023 8th International Conference on Computational Intelligence and Applications, ICCIA 2023 |
| DOI |
http://dx.doi.org/10.1109/ICCIA59741.2023.00024 |
| Abstract |
Starting from the ant colony algorithm and introducing heuristic functions, node selection strategies, and pheromone updates to improve the ant colony algorithm and make it provide a scientific basis for evacuation after a fire. The ant colony algorithm is improved to make it more suitable for the path optimization of emergency evacuation in large public buildings. The improved ant colony algorithm is used to solve the case, and the superiority of the improved ant colony algorithm and the feasibility of the path optimization algorithm are verified. Under the guidance of the improved ant colony algorithm, the evacuation path was visualized by programming with unity3D. © 2023 IEEE. |
| Author Keywords |
ant colony algorithm; BIM technology; improved ant colony algorithm; path optimization; unity3D |
