Community Swarm Optimization

  • Rawan Ghnemat
  • Cyrille Bertelle
  • Gérard H. E. Duchamp
Part of the Understanding Complex Systems book series (UCS)


The development of distributed computations and complex systems modelling [11] leads to the creation of innovative algorithms based on interacting virtual entities, specifically for optimisation purposes within complex phenomena. Particule Swarm Optimisation (PSO) and Ant Colony Optimisation (ACO) are two of these algorithms. We propose in this paper a method called Community Swarm Optimisation (CSO). This method is based on more sophisticated entities which are defined by behavioral automata. This algorithm leads to the emergence of the solution by the co-evolution of their behavioral and spatial characteristics. This method is suitable for urban management, in order to improve the understanding of the individual behaviors over the emergent urban organizations.


swarm optimisation community dectection self-organization automata evolutive methods geographic systems ressource management 


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  1. 1.
    Benenson, I., Torrens, P.M.: Geosimulation - Automata-based modeling of urban phenomena. Wiley, Chichester (2004)Google Scholar
  2. 2.
    Bertelle, C., Flouret, M., Jay, V., Olivier, D., Ponty, J.-L.: Genetic algorithms on automata with multiplicities for adaptive agent behaviour in emergent organizations. In: SCI 2001, Orlando, Florida, USA, July 22-25 (2001)Google Scholar
  3. 3.
    Bonabeau, E., Dorigo, M., Theraulaz, G.: Swam Intelligence, from natural to artificial systems. In: The Santa Fe Institute Studies in the Sciences of Complexity. Oxford University Press, Oxford (1999)Google Scholar
  4. 4.
    Bourbaki, N.: Elements of Mathematics: General Topology, ch. 5-10. Springer, Heidelberg (1998)Google Scholar
  5. 5.
    De Castro, L.N., Timmis, J.: Artificial immune system: a new computational approach. Springer, London (2002)zbMATHGoogle Scholar
  6. 6.
    Ghnemat, R., Oqeili, S., Bertelle, C., Duchamp, G.H.E.: Automata-Based Adaptive Behavior for Economic Modelling Using Game Theory. In: Aziz-Alaoui, M.A., Bertelle, C. (eds.) Emergent Properties in Natural and Artificial Dynamical Systems. Springer, Heidelberg (2006)Google Scholar
  7. 7.
    Ghnemat, R., Bertelle, C., Duchamp, G.H.E.: Adaptive Automata Community Detection and Clustering, a generic methodology. In: Proceedings of World Congress on Engineering 2007, International Conference of Computational Intelligence and Intelligent Systems, London, U.K, July 2-4, pp. 25–30 (2007)Google Scholar
  8. 8.
    Golan, J.S.: Power algebras over semirings. Kluwer Academic Publishers, Dordrecht (1999)zbMATHGoogle Scholar
  9. 9.
    Goldberg, D.E.: Genetic Algorithms. Addison-Wesley, Reading (1989)zbMATHGoogle Scholar
  10. 10.
    Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol. 5(3), pp. 1942–1948. IEEE Service Center, Piscataway (1995)CrossRefGoogle Scholar
  11. 11.
    Le Moigne, J.-L.: La modélisation des systèmes complexes, Dunod (1999)Google Scholar
  12. 12.
    Reynolds, C.W.: Flocks, Herds and Schools: a distributed behavioral model. Computer Graphics 21(4), 25–34 (1987) (SIGGRAPH 1987 Conference Proceedings)CrossRefMathSciNetGoogle Scholar
  13. 13.
    Schelling, T.C.: Dynamic Models of Segregation. Journal of Mathematical Sociology 1, 143–186 (1971)Google Scholar
  14. 14.
    Schützenberger, M.P.: On the definition of a family of automata. Information and Control 4, 245–270 (1961)zbMATHCrossRefMathSciNetGoogle Scholar
  15. 15.
    Schweitzer, F.: Brownian Agents and Active Particles. Springer, Heidelberg (2003)zbMATHGoogle Scholar
  16. 16.
    Stanley, R.P.: Enumerative combinatorics. Cambridge University Press, Cambridge (1999)Google Scholar
  17. 17.
    Weiss, G. (ed.): Multiagent Systems. MIT Press, Cambridge (1999)Google Scholar
  18. 18.
    Xiao, N.: Geographic optimization using evolutionary algorithms. In: 8th International Conference on GeoComputation, University of Michigan, USA (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rawan Ghnemat
    • 1
  • Cyrille Bertelle
    • 1
  • Gérard H. E. Duchamp
    • 2
  1. 1.LITISUniversity of Le HavreLe Havre cedexFrance
  2. 2.LIPNUniversity of Paris XIIIVilletaneuseFrance

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