| 书目名称 | Swarms and Network Intelligence in Search |
| 编辑 | Yaniv Altshuler,Alex Pentland,Alfred M. Bruckstein |
| 视频video | |
| 概述 | 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: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined “search regions”. It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems’ various economic and operational parameters..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 |
| 出版日期 | Book 2018 |
| 关键词 | Computational Intelligence; Network Intelligence; Swarm Intelligence; Computational Complexity; Collabor |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-63604-7 |
| isbn_softcover | 978-3-319-87591-0 |
| isbn_ebook | 978-3-319-63604-7Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing AG 2018 |
发表于 2025-3-21 17:52:23
