Swarm Intelligence

Swarm Intelligence

1st Edition - March 26, 2001

Write a review

  • Authors: Russell Eberhart, Yuhui Shi, James Kennedy
  • eBook ISBN: 9780080518268
  • Hardcover ISBN: 9781558605954

Purchase options

Purchase options
DRM-free (PDF)
Available
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

Description

Traditional methods for creating intelligent computational systems haveprivileged private "internal" cognitive and computational processes. Incontrast, Swarm Intelligence argues that humanintelligence derives from the interactions of individuals in a social worldand further, that this model of intelligence can be effectively applied toartificially intelligent systems. The authors first present the foundations ofthis new approach through an extensive review of the critical literature insocial psychology, cognitive science, and evolutionary computation. Theythen show in detail how these theories and models apply to a newcomputational intelligence methodology—particle swarms—which focuseson adaptation as the key behavior of intelligent systems. Drilling downstill further, the authors describe the practical benefits of applying particleswarm optimization to a range of engineering problems. Developed bythe authors, this algorithm is an extension of cellular automata andprovides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring theboundaries shared by cognitive science, social psychology, artificial life,artificial intelligence, and evolutionary computation and by applying theseinsights to the solving of difficult engineering problems. Researchers andgraduate students in any of these disciplines will find the materialintriguing, provocative, and revealing as will the curious and savvycomputing professional.

Key Features

* Places particle swarms within the larger context of intelligent
adaptive behavior and evolutionary computation.
* Describes recent results of experiments with the particle swarm
optimization (PSO) algorithm
* Includes a basic overview of statistics to ensure readers can
properly analyze the results of their own experiments using the
algorithm.
* Support software which can be downloaded from the publishers
website, includes a Java PSO applet, C and Visual Basic source
code.

Readership

Computer scientist; electrical engineers; artificial intelligence researchers; cognitive scientist and social psychologists; computing professionals.

Table of Contents

  • Introduction

    Part 1: Foundations
    Life and Intelligence
    Optimization by Trial and Error
    On our Nonexistence as Entities
    Evolutionary Computation Theory and Paradigms
    Humans - Actual, Imagined and Implied
    Thinking is Social

    Part 2: Particle Optimization and Collective Intelligence
    The Binary Particle Swarm
    Variations and Comparisons;
    Applications
    Implications and Speculations
    Conclusions

Product details

  • No. of pages: 544
  • Language: English
  • Copyright: © Morgan Kaufmann 2001
  • Published: March 26, 2001
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9780080518268
  • Hardcover ISBN: 9781558605954

About the Authors

Russell Eberhart

Russ Eberhart is Associate Dean of Research at Purdue School of Engineering and Technology in Indianapolis, IN. He is the author of Neural Network PC Tools (Academic Press), a leading book in the field of Neural Networks. Among his credits, he is the former President of the IEEE Neural Networks Council.

Affiliations and Expertise

Purdue School of Engineering

Yuhui Shi

Yuhui Shi received the Ph.D. degree in electrical engineering from Southeast University, China, in 1992. Since then, he has worked at several universities including the Department of Radio Engineering, Southeast University, Nanjing, China, the Department of Electrical & Computer Engineering, Concordia University, Montreal, Canada, the Department of Computer Science, Australian Defense Force Academic, Canberra, Australia, the Department of Computer Science, Korean Advanced Institute of Science and Technology, Taejon, Korea, and the Department of Electrical Engineering, Purdue School of Engineering and Technology, Indianapolis, Indiana, USA. He is currently with Electronic Data Systems, Inc., Kokomo, Indiana, USA, as an Applied Specialist. His main interests include artificial neural networks, evolutionary computation, fuzzy logic systems and their industrial applications.

Dr. Shi was a co-presenter of the tutorial, Introduction to Computation Intelligence, at the 1998 WCCI Conference, Anchorage, Alaska, and presented the tutorial, Evolutionary Computation and Fuzzy Systems, at the 1998 ANNIE Conference, St. Louis. He is the technical co-chair of 2001 Particle Swarm Optimization Workshop, Indianapolis, Indiana.

Affiliations and Expertise

Electronic Data Systems, Inc.

James Kennedy

James Kennedy is a social psychologist who works in survey methods at the US Department of Labor. He has conducted basic and applied research into social effects on cognition and attitude. Dr. Kennedy has worked with the particle swarm computer model of social influence in artificial communities since 1994, presenting research in both the computer-science and social-science publications.

Affiliations and Expertise

US Department of Labor

Ratings and Reviews

Write a review

There are currently no reviews for "Swarm Intelligence"