Adaptive Ant Colony Algorithm Based On Evacuation In Building Fire

In recent years,with the development of the fire protection performance-based design.The means for Computer simulation study on evacuation has been widely used.But most software of evacuation basically consider the shortest path through geometrical figure as the personnel evacuation choice route. It maybe result in bottleneck effect that the shortest path was congested.And the effect of the smoke and visibility atc were not considered well in the personnel evacuation route.When the fire broke out, human’s behavior are similar with ant colony system in diversity, correlation and intergrity as a whole mobile system. So the subject to use adaptive ant colony algorithm to study human evacuation in building fire.This topic base on the building performance-based design,and according to the human evacuate behavior characteristics in building fire.Using the dynamic information such as the concentration of poisonous gas ,the temperature of the fire and the visibility to identify the human activity index evacuation and the difficulty in evacuation passageway and translate into equivalent length. Through the ant colony algorithm adaptively adjust pheromones and search out the optimal path for each node, calculate the time needed for evacuation.Finally, use a large shopping center as an example, through contrast with the usually evacuate software to obtain applicability of this research.