“…The path with more pheromone is selected with the high probability, he pheromone concentration rapidly decreases to increase the opportunity for choosing the other path, which is helpful to jump out the local optimum. At the same time, in order to prevent the low pheromone concentration of the global optimal path, in the first iteration, if there is no one ant to choose the global optimal path, the path is globally updated according the formula (14) in order to ensure that the ant will not deviate from the global optimal path. This method also has the adaptive function.…”