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Swarm Intelligence

Introduction and Applications

  • Book
  • © 2008

Overview

Editors:
  1. Christian Blum

    1. ALBCOM Dept. Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Daniel Merkle

    1. Dept. of Mathematics and Computer Science, University of Southern Denmark, Denmark

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    You can also search for this editor in PubMed   Google Scholar

  • Combines an overview of swarm intelligence with an up-to-date treatment of the advances in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Natural Computing Series (NCS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-IX
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Biological Foundations of Swarm Intelligence

      • Madeleine Beekman, Gregory A. Sword, Stephen J. Simpson
      Pages 3-41

    3. Swarm Intelligence in Optimization

      • Christian Blum, Xiaodong Li
      Pages 43-85

    4. Swarm Robotics

      • Erol Şahin, Sertan Girgin, Levent Bayindir, Ali Emre Turgut
      Pages 87-100

    5. Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview

      • Muddassar Farooq, Gianni A. Di Caro
      Pages 101-160

  3. Applications

    1. Front Matter

      Pages 161-161
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    2. Evolution, Self-organization and Swarm Robotics

      • Vito Trianni, Stefano Nolfi, Marco Dorigo
      Pages 163-191

    3. Particle Swarms for Dynamic Optimization Problems

      • Tim Blackwell, Jürgen Branke, Xiaodong Li
      Pages 193-217

    4. An Agent-Based Approach to Self-organized Production

      • Thomas Seidel, Jeanette Hartwig, Richard L. Sanders, Dirk Helbing
      Pages 219-252

    5. Organic Computing and Swarm Intelligence

      • Daniel Merkle, Martin Middendorf, Alexander Scheidler
      Pages 253-281
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Keywords

About this book

Swarm intelligence is a modern arti?cial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally di?erent from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals.

Reviews

From the reviews:

"This book, edited by Christian Blum and Daniel Merkle, gives us the state of the art in this new and intriguing field of research, through a collection of eight chapters written by leading experts in the field. … Overall, this book is successful in presenting how naturally inspired design differs from traditional approaches … . an interesting read for researchers, to learn the latest developments in this fascinating field, and also for beginners, to get an introduction to swarm intelligence topics and applications." (Alessandro Berni, ACM Computing Reviews, June, 2009)

Editors and Affiliations

  • ALBCOM Dept. Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain

    Christian Blum

  • Dept. of Mathematics and Computer Science, University of Southern Denmark, Denmark

    Daniel Merkle

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