A Path-Planning Algorithm for AGV Based on the Combination between Ant Colony Algorithm and Immune Regulation


Article Preview

For the demand of AGV’s environment modeling and path-planning,the paper discusses how to establish static environment model of visibility graph and proposes a visibility table method.Moreover,based on the environment modeling,we put forward a new kind of global path-planning algorithm by the combination between ant colony algorithm and immune regulation.



Edited by:

Jingtao Han, Sihai Jiao and Zhengyi Jiang




J. Z. Huang and Y. W. Cen, "A Path-Planning Algorithm for AGV Based on the Combination between Ant Colony Algorithm and Immune Regulation", Advanced Materials Research, Vol. 422, pp. 3-9, 2012

Online since:

December 2011




[1] Yi Zhang, Yuan Luo and Taixiong Zheng: Mobile Robot Technology and It's Applications(Publishing House of Electronics Industry, China 2007) (in Chinese).

[2] Roland Siegwart and Illah R. Nourbakhsh: Introduction to Autonomous Mobile Robots(Jiaotong University Press, China 2007) (in Chinese).

[3] LiangMa, GangZhu and AibingNing: Ant Colony Optimization Algorithm(Science Press, China 2008) (in Chinese).

[4] ZixingCai and GuangyouXu: Artificial Intelligence: Principles and Applications(Tsinghua University Press, China 2004) (in Chinese).

[5] Marco Dorigo and Thomas Stutzle: Ant Colony Optimization(Tsinghua University Press, China 2007) (in Chinese).

[6] YouruiHuang: Intelligent Optimization Algorithms and Applications(National Defence Industrial Press, China 2008) (in Chinese).

[7] RenbinXiao, PengbinCao and YiongLiu: Engineering Immune Computing(Science Press, China 2007) (in Chinese).

[8] HongweiMo: The Principles and Applications of Artificial Immune System(Harbin Institute of Technology Press, China 2003) (in Chinese).

[9] L.N. de Castro and J.I. Timmis: Soft Computing, 7(2003), pp.526-544(in English).

Fetching data from Crossref.
This may take some time to load.