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Swarm Intelligence

  • David W. Corne
  • Alan Reynolds
  • Eric Bonabeau

Abstract

Increasing numbers of books, websites, and articles are devoted to the concept of “swarm intelligence.” Meanwhile, a perhaps confusing variety of computational techniques are seen to be associated with this term, such as “agents,” “emergence,” “boids,” “ant colony optimization,” and so forth. In this chapter, we attempt to clarify the concept of swarm intelligence and its associations, and to provide a perspective on its inspirations, history, and current state. We focus on the most popular and successful algorithms that are associated with swarm intelligence, namely, ant colony optimization, particle swarm optimization, and (more recently) foraging algorithms, and we cover the sources of natural inspiration with these foci in mind. We then round off the chapter with a brief review of current trends.

Keywords

Particle Swarm Optimization Social Insect Swarm Intelligence Termite Mound Travel Salesperson Problem 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • David W. Corne
    • 1
  • Alan Reynolds
    • 2
  • Eric Bonabeau
    • 3
  1. 1.School of Mathematical and Computer SciencesHeriot-Watt UniversityEdinburghUK
  2. 2.School of Mathematical and Computer SciencesHeriot-Watt UniversityEdinburghUK
  3. 3.Icosystem CorporationCambridgeUSA

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