Описание: Inspired by studies in swarm intelligence and robotics, swarm robotics facilitates interactions between robots as well as their interactions with the environment. The Handbook of Research on Design, Control, and Modeling of Swarm Robotics is a collection of the most important research achievements in swarm robotics thus far, covering the areas of design, control, and modelling of swarm robotics.
Автор: Heiko Hamann Название: Swarm Robotics: A Formal Approach ISBN: 3319892797 ISBN-13(EAN): 9783319892795 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an introduction to Swarm Robotics, which is the application of methods from swarm intelligence to robotics. It goes on to present methods that allow readers to understand how to design large-scale robot systems by going through many example scenarios on topics such as aggregation, coordinated motion (flocking), task allocation, self-assembly, collective construction, and environmental monitoring. The author explains the methodology behind building multiple, simple robots and how the complexity emerges from the multiple interactions between these robots such that they are able to solve difficult tasks. The book can be used as a short textbook for specialized courses or as an introduction to Swarm Robotics for graduate students, researchers, and professionals who want a concise introduction to the field.
Название: Swarm Robotics ISBN: 3038979228 ISBN-13(EAN): 9783038979227 Издательство: Неизвестно Рейтинг: Цена: 11918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties:
Autonomy--Individuals that create the swarm robotic system are autonomous robots. They are independent and can interact with each other and the environment.
Large number--They are in large number, enabling cooperation.
Scalability and robustness--A new unit can be easily added to the system, so the system can be easily scaled. A greater number of units improves the performance of the system. The system is quite robust to the loss of some units, as some units still remain to perform, although the system will not perform to its maximum capabilities.
Decentralized coordination--The robots communicate with each other and with their environment to make final decisions.
Flexibility--The swarm robotic system has the ability to generate modularized solutions to different tasks.
Описание: Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), which are usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects.
Автор: Jun Sun, Choi-Hong Lai, Xiao-Jun Wu Название: Particle Swarm Optimisation: Classical and Quantum Perspectives ISBN: 1439835764 ISBN-13(EAN): 9781439835760 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Поставка под заказ.
Описание: Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d
Автор: Iba, Hitoshi, Название: AI and swarm : ISBN: 0367136317 ISBN-13(EAN): 9780367136314 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides both theoretical and practical knowledge about artificial intelligence (AI) and swarm intelligence. It emphasizes real-world applicability and offers empirical examples from real-world problems to demonstrate that the proposed approaches are successful when working with swarm robotics, silicon traffics, image understanding, etc.
Автор: Ying Tan; Yuhui Shi; Ben Niu Название: Advances in Swarm Intelligence ISBN: 3030263681 ISBN-13(EAN): 9783030263683 Издательство: Springer Рейтинг: Цена: 10340.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions.
Автор: Marco Dorigo; Mauro Birattari; Christian Blum; And Название: Swarm Intelligence ISBN: 3030005321 ISBN-13(EAN): 9783030005320 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 11th International Conference on Swarm Intelligence, ANTS 2018, held in Rome, Italy, in October 2018.The 24 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 69 submissions. They are devoted to the field of swarm intelligence as a whole, without any bias towards specific research directions.
Автор: Tan Название: Advances in Swarm Intelligence ISBN: 3319410083 ISBN-13(EAN): 9783319410081 Издательство: Springer Рейтинг: Цена: 11460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016.
Автор: Patrick Siarry; Lhassane Idoumghar; Julien Lepagno Название: Swarm Intelligence Based Optimization ISBN: 3319129694 ISBN-13(EAN): 9783319129693 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Vito Trianni Название: Evolutionary Swarm Robotics ISBN: 3642096352 ISBN-13(EAN): 9783642096358 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced.
Название: Swarm Intelligent Systems ISBN: 3642070418 ISBN-13(EAN): 9783642070419 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In general, multi-agent systems that use swarm intelligence are said to be swarm intelligent systems. This volume reviews innovative methodologies of swarm intelligence, outlines the foundations of engineering swarm intelligent systems and applications, and relates experiences using the particle swarm optimisation.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
