Glowworm Swarm Optimization : Theory, Algorithms, and Applications

✍ Scribed by Krishnanand N. Kaipa, Debasish Ghose (auth.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 265
• Series: Studies in Computational Intelligence 698
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxvi
From Natural to Synthetic Swarms....Pages 1-19
Glowworm Swarm Optimization: Algorithm Development....Pages 21-56
Theoretical Foundations....Pages 57-90
Multimodal Function Optimization....Pages 91-131
Experiments Using Physical Simulations and Real Robots....Pages 133-155
Applications to Ubiquitous Computing Environments....Pages 157-181
Pursuit of Multiple Mobile Signal Sources....Pages 183-201
GSO Applications and Extensions....Pages 203-224
Back Matter....Pages 225-248

✦ Subjects

Computational Intelligence;Artificial Intelligence (incl. Robotics);Algorithms