Based on Emergency Evacuation of Improved Artificial Fish Swarm Algorithm
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DOI: 10.23977/CNCI2020089
Author(s)
Qingrong Wang and Yan Yang
Corresponding Author
Qingrong Wang
ABSTRACT
With the increase of group activities and the frequent occurrence of accidents, there are often significant hidden dangers in crowded places.Therefore, it is of great practical significance to evacuate from dangerous places to ensure the safety of the crowd.Cluster analysis and weighting strategies are used to optimize the artificial fish school algorithm, thereby establishing a hybrid algorithm evacuation model.The model of the improved artificial fish school algorithm uses the evacuation time of the crowd to the exit as the evaluation standard of the fitness function to carry out the simulation of crowd path planning.Through model analysis, it is concluded that the behavior selected by the improved artificial fish school algorithm, namely the mixed artificial fish school evacuation model, is feasible and effective as a relevant factor influencing crowd evacuation path planning.
KEYWORDS
Artificial fish swarm algorithm(AFSA); cluster analysis; weight strategy; global optimal solution; the path planning