An improved ant colony foraging behavior modeling in the application of robot path planning problem
- DOI
- 10.2991/icmemtc-16.2016.144How to use a DOI?
- Keywords
- foraging behavior model; complex adaptive system; agent.
- Abstract
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.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jian Peng AU - Zhiwei Bao PY - 2016/04 DA - 2016/04 TI - An improved ant colony foraging behavior modeling in the application of robot path planning problem BT - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control PB - Atlantis Press SP - 722 EP - 726 SN - 2352-5401 UR - https://doi.org/10.2991/icmemtc-16.2016.144 DO - 10.2991/icmemtc-16.2016.144 ID - Peng2016/04 ER -