Innovations in Swarm Intelligence

  • Chee Peng Lim
  • Lakhmi C. Jain
  • Satchidananda Dehuri

Part of the Studies in Computational Intelligence book series (SCI, volume 248)

Table of contents

  1. Front Matter
  2. Chee Peng Lim, Lakhmi C. Jain
    Pages 1-7
  3. Dušan Teodorović
    Pages 39-60
  4. Denton Cockburn, Ziad Kobti
    Pages 77-89
  5. Siew Chin Neoh, Norhashimah Morad, Arjuna Marzuki, Chee Peng Lim, Zalina Abdul Aziz
    Pages 121-140
  6. Yoshikazu Fukuyama, Hideyuki Nishida, Yuji Todaka
    Pages 159-173
  7. Boonserm Kaewkamnerdpong, Peter J. Bentley
    Pages 175-214
  8. Nikos Tsimboukakis, George Tambouratzis
    Pages 215-236
  9. Mohammed Alshalalfa, Ala Qabaja, Reda Alhajj, Jon Rokne
    Pages 237-253
  10. Back Matter

About this book

Introduction

Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals.

The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include:

  • particle swarm optimization and hybrid methods
  • ant colony optimization and hybrid methods
  • bee colony optimization, glowworm swarm optimization, and complex social swarms
  • application of various swarm intelligence models to operational planning of energy plants, modelling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals

The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence.

Keywords

Design of Knowledge-based Systems Signal agents algorithm algorithms computational intelligence control intelligence knowledge knowledge-based systems model modeling optimization robot swarm intelligence

Editors and affiliations

  • Chee Peng Lim
    • 1
  • Lakhmi C. Jain
    • 1
  • Satchidananda Dehuri
    • 2
  1. 1.University of South AustraliaAdelaideAustralia
  2. 2.Soft Computing Laboratory, Department of computer ScienceYonsei UniversitySeoulKorea

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04225-6
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-04224-9
  • Online ISBN 978-3-642-04225-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book