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Glowworm Swarm Optimization

Theory, Algorithms, and Applications

  • Krishnanand N. Kaipa
  • Debasish Ghose

Part of the Studies in Computational Intelligence book series (SCI, volume 698)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Krishnanand N. Kaipa, Debasish Ghose
    Pages 1-19
  3. Krishnanand N. Kaipa, Debasish Ghose
    Pages 21-56
  4. Krishnanand N. Kaipa, Debasish Ghose
    Pages 57-90
  5. Krishnanand N. Kaipa, Debasish Ghose
    Pages 91-131
  6. Krishnanand N. Kaipa, Debasish Ghose
    Pages 133-155
  7. Krishnanand N. Kaipa, Debasish Ghose
    Pages 157-181
  8. Krishnanand N. Kaipa, Debasish Ghose
    Pages 183-201
  9. Krishnanand N. Kaipa, Debasish Ghose
    Pages 203-224
  10. Back Matter
    Pages 225-248

About this book

Introduction

This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization.
 
The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.

Keywords

Glowworm Swarm Optimization Algorithm GSO Algorithm Swarm Intelligence Computational Intelligence Intelligent Systems

Authors and affiliations

  • Krishnanand N. Kaipa
    • 1
  • Debasish Ghose
    • 2
  1. 1.Old Dominion University NorfolkUSA
  2. 2.Indian Institute of Science Bangalore BangaloreIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51595-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-51594-6
  • Online ISBN 978-3-319-51595-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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