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Applying Aspects of Multi-robot Search to Particle Swarm Optimization

  • Conference paper
Ant Colony Optimization and Swarm Intelligence (ANTS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4150))

Abstract

Throughout the history of research, some of the most innovative and useful discoveries have arisen from a fusion of two or more seemingly unrelated fields of study; a characteristic of some method or process is enfused into a completely disjoint technique, and the resulting creation exhibits superior behavior. Some common examples include simulated annealing modeled after the annealing process in physics, Ant Colony Optimization modeled after the behavior of social insects, and the Particle Swarm Optimization algorithm modeled after the patterns of flocking birds.

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Author information

Authors and Affiliations

  1. Swarm-Intelligent Systems Group, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Jim Pugh, Loïc Segapelli & Alcherio Martinoli

Authors
  1. Jim Pugh
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  2. Loïc Segapelli
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  3. Alcherio Martinoli
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Editor information

Editors and Affiliations

  1. IRIDIA, CoDE, Université Libre de Bruxelles,,, Brussels, Belgium

    Marco Dorigo

  2. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland

    Luca Maria Gambardella

  3. IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

    Mauro Birattari

  4. Swarm-Intelligent Systems Group, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland

    Alcherio Martinoli

  5. Department of Computing and Electronic Systems, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Riccardo Poli

  6. IRIDIA, CoDE, Université Libre de Bruxelles, Avenue F. Roosevelt 50, CP 194/6, 1050, Brussels, Belgium

    Thomas Stützle

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© 2006 Springer-Verlag Berlin Heidelberg

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Pugh, J., Segapelli, L., Martinoli, A. (2006). Applying Aspects of Multi-robot Search to Particle Swarm Optimization. In: Dorigo, M., Gambardella, L.M., Birattari, M., Martinoli, A., Poli, R., Stützle, T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2006. Lecture Notes in Computer Science, vol 4150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11839088_54

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  • DOI: https://doi.org/10.1007/11839088_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38482-3

  • Online ISBN: 978-3-540-38483-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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