Research and Simulation of Ant Colony Foraging Behavior Based on Netlogo

Ant colonies are not blind in their search for food and move based on various information left behind by others. Therefore, by using the Netlogo simulation platform, we simulate the behavior of ants and introduce pheromone and environmental factors to influence the movement trajectory of ants and find the optimal route by increasing the number of ants. By increasing the number of effective ants, the overall search speed of the ant colony is improved and the search area is expanded. At the same time, in the traditional ant colony algorithm to solve the path planning problem, by introducing a different number of influence factors, a reasonable model is built to solve the optimal path planning problem. Finally, the optimization algorithm is verified by a simulation experiment, and the feasibility of the optimization is proved.