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Glowworm Swarm Optimization Theory, Algorithms, and Applications /

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...

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Main Authors: Kaipa, Krishnanand N. (Author, http://id.loc.gov/vocabulary/relators/aut), Ghose, Debasish. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Studies in Computational Intelligence, 698
Subjects:
Computational intelligence.
Artificial intelligence.
Algorithms.
Computational Intelligence.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-319-51595-3
Table of Contents:
  • Preface
  • Acknowledgements
  • 1 From Natural to Synthetic Swarms
  • 2 Glowworm Swarm Optimization: Algorithm Development
  • 3 Theoretical Foundations
  • 4 Multimodal Function Optimization
  • 5 Experiments using Physical Simulations and Real Robots
  • 6 Applications to Ubiquitous Computing Environments
  • 7 Pursuit of Multiple Mobile Signal Sources
  • 8 GSO Applications and Extensions.

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