Abstract
Flocking models allow high level organization in huge groups of agents. We deal with a multitarget extension of flocking. In this extension, each agent chooses a target to follow, and several flocks are formed then. In comparison with previous multitarget flocking algorithms, our proposal can handle several obstacles in the environment and it is based on the Particle Swarm Optimization Algorithm. Simulations have shown that the desired behavior of the system was achieved. Our future work considers the extension of the model for 3D environments.
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Serrato Barrera, A., López-López, A., Rodríguez Gómez, G.: Multitarget flocking for constrained environments. In: Demazeau, Y., et al. (eds.) Advances on PAAMS. AISC, vol. 155, pp. 181–190. Springer, Heidelberg (2012)
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© 2012 Springer-Verlag Berlin Heidelberg
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Barrera, A.S., López-López, A., Gómez, G.R. (2012). Demonstration of Multitarget Flocking for Constrained Environments. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_39
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DOI: https://doi.org/10.1007/978-3-642-28786-2_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28785-5
Online ISBN: 978-3-642-28786-2
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