Study of Ant colony optimization algorithm in snake-like robot path planning

DOI

10.2991/lemcs-14.2014.173How to use a DOI?

Keywords

snake-like robot; Path planning; Ant colony; optimization algorithm; Genetic mechanisms

Abstract

the model of the snake-like robot's environment was built by using grid method, Ant colony optimization algorithm based on the genetic mechanismwas usedto solve the robot path planning, and the optimization strategy was put forward. In order to test the optimized algorithm performance, we designed a simulation program based on MATLAB software. By compared with the ordinary ants colony algorithm, the simulation results show that the optimization algorithm has faster convergence rate, the optimal solution of the characteristics of higher success rate, and also obtain better solutions.

Copyright

© 2014, 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  - Hongyan Li
AU  - Yuanbin Hou
PY  - 2014/05
DA  - 2014/05
TI  - Study of Ant colony optimization algorithm in snake-like robot path planning
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 759
EP  - 762
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.173
DO  - 10.2991/lemcs-14.2014.173
ID  - Li2014/05
ER  -