Path Planning with the Use of Artificial Ant Colony Algorithm

Stanislav Vĕchet; Tomas Ripel

doi:10.4028/www.scientific.net/SSP.198.114

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HomeSolid State PhenomenaSolid State Phenomena Vol. 198Path Planning with the Use of Artificial Ant...

Path Planning with the Use of Artificial Ant Colony Algorithm

Abstract:

Finding a way through an unexplored environment belongs to actual problems in many artificial agent systems. Common algorithms as state-space searching or rapidly exploring random trees are used when the map of given environment is known. In this paper we present simulation experiments with multi agent system represented as artificial ant colony.

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Periodical:

Solid State Phenomena (Volume 198)

Pages:

114-119

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.198.114

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Online since:

March 2013

Authors:

Stanislav Vĕchet, Tomas Ripel

Keywords:

Artificial Ant Colony, Optimization, Path Planning, State Space Exploration, Swarm Algorihms

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References

[1] J. Krejsa, Reduction of face detection false positives in mobile robot interaction using proximity sensors, in proceedings of Mendel 2011, 17th International Conference on Soft Computing, pp.540-545, (2011).

Google Scholar

[2] S. Vechet; V. Ondrousek. Motion Planning of Autonomous Mobile Robot in Highly Populated Dynamic Environment. In Mechatronics, recent technological and scientific advances. 1. 2011. pp.453-461. ISBN 978-3-642-23243-5.

DOI: 10.1007/978-3-642-23244-2_55

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