Glowworm Swarm Optimization Theory, Algorithms, and Applications /

• Main Authors: Kaipa, Krishnanand N. (Author), Ghose, Debasish (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Studies in Computational Intelligence, 698
• Subjects: Engineering.; Artificial intelligence.; Algorithms.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...

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.