Function of Ant Colony Algorithm in Path Optimization of Urban Fire Truck

摘要

When the city burst fire, the city fire truck can reach the fire scene in the shortest time to carry out the fire is to reduce the loss of the core. Therefore, this paper introduces ant colony algorithm to solve the core problem, by building the model, using the grid environment information, search for the best parameters of the algorithm, use numerical example simulation to illustrate the ant colony optimization algorithm on fire path has a good value. The results show that the ant colony algorithm can greatly improve the efficiency on this issue, saving time.