Applying Aspects of Multi-robot Search to Particle Swarm Optimization

  • Jim Pugh
  • Loïc Segapelli
  • Alcherio Martinoli
Part of the Lecture Notes in Computer Science book series (LNCS, 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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jim Pugh
    • 1
  • Loïc Segapelli
    • 1
  • Alcherio Martinoli
    • 1
  1. 1.Swarm-Intelligent Systems GroupÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland

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