Overview
- Presents recent research on swarms and network intelligence in search?systems
- Applies swarm intelligence methods to search technology
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 729)
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Table of contents (8 chapters)
Keywords
About this book
Current UAV systems rely mainly on human operators for the design and adaptation of drones’ flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator.
With the growing complexity o
f such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes.
The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.
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Authors and Affiliations
Bibliographic Information
Book Title: Swarms and Network Intelligence in Search
Authors: Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-63604-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-63602-3Published: 11 August 2017
Softcover ISBN: 978-3-319-87591-0Published: 11 August 2018
eBook ISBN: 978-3-319-63604-7Published: 03 August 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 238
Number of Illustrations: 63 b/w illustrations, 53 illustrations in colour