1st Edition
Search and Foraging Individual Motion and Swarm Dynamics
Introduction
Group Testing
Search and Screening
Games of Search
Foraging
Goal and Structure of This Book
Methods of Optimal Search and Screening
Location Probabilities and Search Density
Search for a Static Target
Search for a Moving Target
Methods of Optimal Foraging
Preying and Foraging by Patches
Spatial Dynamics of Populations
Methods of Optimal Foraging
Inferences and Restrictions
Models of Individual Search and Foraging
Movements of the Agents and Their Trajectories
Brownian Search and Foraging
Foraging by Lévy Flights
Algorithms of Probabilistic Search and Foraging
Coalitional Search and Swarm Dynamics
Swarming and Collective Foraging
Foraging by Multiple Foragers in Random Environment
Modeling by Active Brownian Motion
Turing System for the Swarm Foraging
Remarks on Swarm Robotic Systems for Search and Foraging
Conclusion
Bibliography
Index
A Summary appears at the end of each chapter.
Biography
Eugene Kagan is a senior lecturer in the Department of Industrial Engineering at Ariel University and an advisor in the Department of Mathematics at the Weizmann Institute of Science. His research interests include dynamical systems theory, applied probability, and robotics.
Irad Ben-Gal is a professor and the chair of the Department of Industrial Engineering at Tel Aviv University. His research interests include applied probability, machine learning and information theory applications to industrial and service systems as well as business analytics applications.
"The book is valuable reading both for teaching inspiration as well as for research insights into optimization, modeling, mathematical biology, and robot programming."
—Zentralblatt MATH 1327
