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Emergent Sorting in Networks of Router Agents

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Ant Colony Optimization and Swarm Intelligence (ANTS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5217))

Abstract

In this paper we study basic properties of so called Emergent Sorting Networks. These are directed networks which consist of router agents and buffer sites that are located between every two neighbouring agents. The agents can move objects from their input buffer sites to their output buffers. It is assumed that the objects may differ in type and are inserted randomly at an input agent. Brueckner (2000) presented a set of simple local policies for the agents which lead to a sorted outflow (batches of objects of the same type) of the objects out of an output agent. In this paper we introduce a pheromone based variant of the routing policies. The different policies are studied on quadratic and linear network topologies in terms of sorting performance and fairness.

This work was supported by German Research Foundation (DFG) through the project “Organisation and Control of Self-Organising Systems in Technical Compound” within SPP 1183, by the Integrated Action grant MEC HA2006-0127 (Germany/Spain), by grant TIN2007-66523 (FORMALISM) of the Spanish government, and by the EU project FRONTS (FP7-ICT-2007-1) funded by the European Comission under the FET Proactive Initiative Pervasive Adaptation. In addition, Christian Blum acknowledges support from the Ramón y Cajal program of the Spanish Ministry of Science and Technology of which he is a research fellow.

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References

  1. Brueckner, S.A.: Return From the Ant—Synthetic Ecosystems for Manufacturing Control. PhD thesis, Humbold University, Berlin (2000)

    Google Scholar 

  2. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)

    MATH  Google Scholar 

  3. Blum, C., Merkle, D. (eds.): Swarm Intelligence – Introduction and Applications. Natural Computing. Springer, Berlin (2008)

    MATH  Google Scholar 

  4. Tozier, W.A., Chesher, M.R., Devgan, T.S.: The brueckner network: An immobile sorting swarm. In: Cattolico, M., et al. (eds.) Proceedings of GECCO 2006 – Genetic and Evolutionary Computation Conference, pp. 91–92. ACM Press, New York (2006)

    Chapter  Google Scholar 

  5. Wyatt, T.D.: Pheromones and Animal Behaviour: Communication by Smell and Taste. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  6. Dorigo, M., Stützle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)

    MATH  Google Scholar 

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Marco Dorigo Mauro Birattari Christian Blum Maurice Clerc Thomas Stützle Alan F. T. Winfield

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© 2008 Springer-Verlag Berlin Heidelberg

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Scheidler, A., Blum, C., Merkle, D., Middendorf, M. (2008). Emergent Sorting in Networks of Router Agents. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_30

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  • DOI: https://doi.org/10.1007/978-3-540-87527-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87526-0

  • Online ISBN: 978-3-540-87527-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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