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Swarm-Based Heuristics for an Area Exploration

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Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 8))

Abstract

This paper describes design and implementation of biologically inspired heuristic for the purpose of motion coordination. Proposed method goes from known principles and methods, namely: particle swarm optimization, ant colony optimization, and simulation of virtual bird flocking methods. It combines several known features and also introduces some new approaches to create a new heuris-tics focused on an area exploration and surveillance. After promising simulation results, the approach was tested on Lego robots within simple environment in order to prove the concept.

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Masár, M., Budinská, I. (2014). Swarm-Based Heuristics for an Area Exploration. In: Fodor, J., Fullér, R. (eds) Advances in Soft Computing, Intelligent Robotics and Control. Topics in Intelligent Engineering and Informatics, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-05945-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-05945-7_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05944-0

  • Online ISBN: 978-3-319-05945-7

  • eBook Packages: EngineeringEngineering (R0)

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