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Swarms and Network Intelligence in Search, Yaniv Altshuler; Alex Pentland; Alfred M. Bruckste


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Автор: Yaniv Altshuler; Alex Pentland; Alfred M. Bruckste
Название:  Swarms and Network Intelligence in Search
ISBN: 9783319636023
Издательство: Springer
Классификация:

ISBN-10: 3319636022
Обложка/Формат: Hardcover
Страницы: 238
Вес: 0.53 кг.
Дата издания: 11.08.2017
Серия: Studies in Computational Intelligence
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 53 illustrations, color; 63 illustrations, black and white; vii, 241 p. 116 illus., 53 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
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 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.

Дополнительное описание: Introduction to Swarm Search.- Cooperative “Swarm Cleaning” of Stationary Domains.- Swarm Search of Expanding Regions in Grids: Lower Bounds.- Swarm Search of Expanding Regions in Grids: Upper Bounds.- The Search Complexity of Collaborative Swarms Expandi



Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III

Автор: Lynne E. Parker; Frank E. Schneider; Alan C. Schul
Название: Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III
ISBN: 904816849X ISBN-13(EAN): 9789048168491
Издательство: Springer
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Цена: 33401.00 р.
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Achieving Consensus in Robot Swarms

Автор: Gabriele Valentini
Название: Achieving Consensus in Robot Swarms
ISBN: 3319536087 ISBN-13(EAN): 9783319536088
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem.

Multi-Robot Systems: From Swarms to Intelligent Automata

Автор: Alan C. Schultz; Lynne E. Parker
Название: Multi-Robot Systems: From Swarms to Intelligent Automata
ISBN: 9048160464 ISBN-13(EAN): 9789048160464
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Proceedings from the 2002 NRL Workshop on Multi-Robot Systems

Multi-Robot Systems: From Swarms to Intelligent Automata, Volume II

Автор: Alan C. Schultz; Lynne E. Parker; Frank E. Schneid
Название: Multi-Robot Systems: From Swarms to Intelligent Automata, Volume II
ISBN: 9048162505 ISBN-13(EAN): 9789048162505
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Proceedings from the 2003 International Workshop on Multi-Robot Systems

Swarm Intelligence for Multi-objective Problems in Data Mining

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642036244 ISBN-13(EAN): 9783642036248
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Swarm Intelligence for Multi-objective Problems in Data Mining

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642260535 ISBN-13(EAN): 9783642260537
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Advances in Swarm Intelligence

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi
Название: Advances in Swarm Intelligence
ISBN: 3319618237 ISBN-13(EAN): 9783319618234
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. novel swarm-based optimization algorithms; applications of particle swarm optimization; hybrid optimization algorithms and applications;

Multi-objective Swarm Intelligence

Автор: Satchidananda Dehuri; Alok Kumar Jagadev; Mrutyunj
Название: Multi-objective Swarm Intelligence
ISBN: 3662463083 ISBN-13(EAN): 9783662463086
Издательство: Springer
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Цена: 19591.00 р.
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Описание: In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis.

Swarm Intelligence Based Optimization

Автор: Patrick Siarry; Lhassane Idoumghar; Julien Lepagno
Название: Swarm Intelligence Based Optimization
ISBN: 3319129694 ISBN-13(EAN): 9783319129693
Издательство: Springer
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Цена: 6708.00 р.
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Описание:

Combining PSO and FCM for Dynamic Fuzzy Clustering Problems.- Metaheuristics for solving a hybrid flexible flowshop problem with sequence-dependent setup times.- Using Particle Swarm Optimization Method to Invert Active Surface Waves.- A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer.- Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition.- Smooth trajectory planning for robot using particle swarm optimization.- Multi-level parallelization for hybrid ACO.- Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms.- Using bio-inspired algorithm to compensate web page color contrast for dichromat users.- Comparison of two swarm intelligence optimization algorithms on the textual color problem for web accessibility.- How Much Forcing is Necessary to Let the Results of Particle Swarms Converge?.- The use of ontology in semantic analysis of the published learners messages for adaptability.- A Hybrid PSO Applied to the Flexible Job Shop with Transport.- Multiple Mobile Target Tracking in Wireless Sensor Networks.- Swarm projects: beyond the metaphor.- An enhanced Particle Swarm Optimisation algorithm combined with Neural Networks to decrease computational time.- Robust Multi-Agent Patrolling Strategies using Reinforcement Learning.- BSG-Starcraft Radius improvements of Particle Swarm Optimization.- Algorithm: an application to Ceramic Matrix Composites.- An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting.- Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach.

Advances in Swarm Intelligence

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi; Ben Niu
Название: Advances in Swarm Intelligence
ISBN: 3319618326 ISBN-13(EAN): 9783319618326
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. novel swarm-based optimization algorithms; applications of particle swarm optimization; hybrid optimization algorithms and applications;

Advances in Swarm and Computational Intelligence

Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G
Название: Advances in Swarm and Computational Intelligence
ISBN: 3319204653 ISBN-13(EAN): 9783319204659
Издательство: Springer
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Цена: 11180.00 р.
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Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.

Innovations in Swarm Intelligence

Автор: Chee Peng Lim; Satchidananda Dehuri
Название: Innovations in Swarm Intelligence
ISBN: 3642042244 ISBN-13(EAN): 9783642042249
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Recent innovations in the field of swarm intelligence are presented in this comprehensive review. Various topics, such as ant colony optimization and complex social swarms are discussed, as well as swarm intelligence models and applications.


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