Swarm Intelligence

Introduction and Applications

  • Christian Blum
  • Daniel Merkle

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Madeleine Beekman, Gregory A. Sword, Stephen J. Simpson
      Pages 3-41
    3. Christian Blum, Xiaodong Li
      Pages 43-85
    4. Erol Şahin, Sertan Girgin, Levent Bayindir, Ali Emre Turgut
      Pages 87-100
  3. Applications

    1. Front Matter
      Pages 161-161
    2. Vito Trianni, Stefano Nolfi, Marco Dorigo
      Pages 163-191
    3. Tim Blackwell, Jürgen Branke, Xiaodong Li
      Pages 193-217
    4. Thomas Seidel, Jeanette Hartwig, Richard L. Sanders, Dirk Helbing
      Pages 219-252
    5. Daniel Merkle, Martin Middendorf, Alexander Scheidler
      Pages 253-281

About this book

Introduction

The laws that govern the collective behavior of social insects, flocks of birds, or fish schools continue to mesmerize researchers. While individuals are rather unsophisticated, in cooperation they can solve complex tasks, a prime example being the ability of ant colonies to find shortest paths between their nests and food sources. Task-solving results from self-organization, which often evolves from simple means of communication, either directly or indirectly via changing the environment, the latter referred to as stigmergy. Scientists have applied these principles in new approaches, for example to optimization and the control of robots. Characteristics of the resulting systems include robustness and flexibility. This field of research is now referred to as swarm intelligence.

The contributing authors are among the top researchers in their domain. The book is intended to provide an overview of swarm intelligence to novices, and to offer researchers in the field an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research such as the evolution of robot behavior, the use of particle swarms for dynamic optimization, and organic computing.

Keywords

Artificial intelligence Distributed systems Evolution Operations research Optimization Organic Computing Routing communication intelligence robot robotics swarm intelligence

Editors and affiliations

  • Christian Blum
    • 1
  • Daniel Merkle
    • 2
  1. 1.ALBCOM Dept. Llenguatges i Sistemes InformàticsUniversitat Politècnica de Catalunya08034 BarcelonaSpain
  2. 2.Dept. of Mathematics and Computer ScienceUniversity of Southern DenmarkDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74089-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74088-9
  • Online ISBN 978-3-540-74089-6
  • Series Print ISSN 1619-7127
  • About this book