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/).

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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  -