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In order to study and apply the ant foraging theory,this paper introduced the modeling method based on agent to construct the ant colony foraging behavior model. Through constructing many effective ant behavior rules,such as the path selection rules ,which was added the function of perceiving information,the reward and punishment rules which could regenerate the pheromone and strengthen the speed and the intelligence of ant routing. Comparing with the existing classic literature,it determined the effectiveness of the model. In order to verify the adaptability of ants foraging behavior model,the model was used to the local path planning of mobile robot. The simulation results show the ants foraging behavior model can quickly determine the optimal path in the complex environment.

An improved ant colony foraging behavior modeling in the application of robot path planning problem