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A 3D Discrete-Continuum Swarm Intelligence Simulation on GPU for Swarm Robotics and Biomedical Applications

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7269)

Abstract

In this paper we present a new 3D simulation environment, combining features of both discrete swarm agents and continuous environment defined implicitly as a locally updatable zero-level set surface. The advantage of the proposed framework is the natural support for swarm coordination, as well as for adding other continuum based processes, such as the Eulerian numerical simulation of fluid dynamics equations. In most biomedical applications the influence of gaseous/liquid flows and concentrations becomes a key aspect in any viable model. The level set equations are solved using the finite element method (FEM), which is routinely used for analysing physical properties such as aseous/liquid flows, heat transfer, diffusion and reaction etc.

Keywords

  • Graphic Processing Unit
  • Linked List
  • Swarm Robotic
  • Deposition Probability
  • Royal Chamber

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bonabeau, E., Theraulaz, G., Deneubourg, J.-L., Franks, N., Rafelsberger, O., Joly, J.-L., Blanco, S.: A model for the emergence of pillars, walls and royal chambers in termite nests. Philosophical Transactions of the Royal Society of London 353(B), 1561–1576 (1998)

    CrossRef  Google Scholar 

  2. Feltell, D., Bai, L.: 3D level set image segmentation refined by intelligent agent swarms. In: IEEE World Congress on Computational Intelligence (WCCI 2010) (2010)

    Google Scholar 

  3. Feltell, D., Bai, L., Jensen, H.J.: An individual approach to modelling emergent structure in termite swarm systems. International Journal of Modelling, Identification and Control 3(1), 29–40 (2008)

    CrossRef  Google Scholar 

  4. Feltell, D., Bai, L., Soar, R.: Bio-inspired emergent construction. In: IEEE 2nd International Swarm Intelligence Symposium, Pasadena, CA, USA (2005)

    Google Scholar 

  5. Feltell, D., Bai, L., Soar, R.: Level set brain segmentation with agent clustering for initialisation. In: International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Funchal, Madeira, Portugal (2008)

    Google Scholar 

  6. Sethian, J.: Level Set Methods and Fast Marching Methods. Cambridge University Press (1999)

    Google Scholar 

  7. Turner, J.S.: On the mound of Macrotermes michaelseni as an organ of respiratory gas exchange. Physiological and Biochemical Zoology 74(6), 798–822 (2001)

    CrossRef  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Bai, L., Feltell, D. (2012). A 3D Discrete-Continuum Swarm Intelligence Simulation on GPU for Swarm Robotics and Biomedical Applications. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Swarm and Evolutionary Computation. EC SIDE 2012 2012. Lecture Notes in Computer Science, vol 7269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29353-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-29353-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29352-8

  • Online ISBN: 978-3-642-29353-5

  • eBook Packages: Computer ScienceComputer Science (R0)