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Recent Algorithms and Applications in Swarm Intelligence Research, Yuhui Shi


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Автор: Yuhui Shi
Название:  Recent Algorithms and Applications in Swarm Intelligence Research
ISBN: 9781466624795
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1466624795
Обложка/Формат: Hardcover
Страницы: 345
Вес: 1.08 кг.
Дата издания: 30.11.2012
Серия: Computing & IT
Язык: English
Иллюстрации: 1, black & white illustrations
Размер: 282 x 218 x 25
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures
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Поставляется из: Англии
Описание: Advances in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous functions, as well as being applied to solve real-world applications. This title highlights the current research on swarm intelligence algorithms and its applications.

Critical Developments and Applications of Swarm Intelligence

Автор: Yuhui Shi
Название: Critical Developments and Applications of Swarm Intelligence
ISBN: 1522551344 ISBN-13(EAN): 9781522551348
Издательство: Mare Nostrum (Eurospan)
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Цена: 196460.00 T
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Описание: Artificial intelligence is a constantly advancing field that requires models in order to accurately create functional systems. The use of natural acumen to create artificial intelligence creates a field of research in which the natural and the artificial meet in a new and innovative way. Critical Developments and Applications of Swarm Intelligence is a critical academic publication that examines developing research, technologies, and function regarding natural and artificial acumen specifically, in regards to self-organized systems. Featuring coverage on a broad range of topics such as evolutionary algorithms, optimization techniques, and computational comparison, this book is geared toward academicians, students, researchers, and engineers seeking relevant and current research on the progressive research based on the implementation of swarm intelligence in self-organized systems.

Evolutionary and Swarm Intelligence Algorithms

Автор: Bansal
Название: Evolutionary and Swarm Intelligence Algorithms
ISBN: 3319913395 ISBN-13(EAN): 9783319913391
Издательство: Springer
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Цена: 121110.00 T
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Описание: The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 3319138251 ISBN-13(EAN): 9783319138251
Издательство: Springer
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Цена: 121110.00 T
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Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation

Swarm Intelligence Based Optimization

Автор: Siarry
Название: Swarm Intelligence Based Optimization
ISBN: 3319503065 ISBN-13(EAN): 9783319503066
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016.

Swarm Intelligence

Автор: Christian Blum; Daniel Merkle
Название: Swarm Intelligence
ISBN: 3642093434 ISBN-13(EAN): 9783642093432
Издательство: Springer
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Цена: 121110.00 T
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Описание: The book`s contributing authors are among the top researchers in swarm intelligence. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research.

Emerging Research On Swarm Intelligence And Algorithm Optimization

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Innovations and Developments of Swarm Intelligence Applications

Автор: Yuhui Shi
Название: Innovations and Developments of Swarm Intelligence Applications
ISBN: 1466615923 ISBN-13(EAN): 9781466615922
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Explores the emerging realm of swarm intelligence, which finds its basis in the natural social behaviour of animals. The study and application of this swarm behaviour has led scientists to a new world of research as ways are found to apply this behaviour to independent intelligent agents, creating complex solutions for real world applications.

Theory & New Applications of Swarm Intelligence

Автор: Bilroy Muller
Название: Theory & New Applications of Swarm Intelligence
ISBN: 168117586X ISBN-13(EAN): 9781681175867
Издательство: Gazelle Book Services
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Цена: 230210.00 T
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Описание: A single ant or bee is not smart, but their colonies are. The study of swarm intelligence is providing insights that can help humans manage complex systems, from truck routing to military robots. A colony can solve problems unthinkable for individual ants, such as finding the shortest path to the best food source, allocating workers to different tasks, or defending a territory from neighbours. As individuals, ants might be tiny dummies, but as colonies they respond quickly and effectively to their environment. They do it with something called swarm intelligence. Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralised control and self-organisation. In particular, the discipline focuses on the collective behaviours that result from the local interactions of the individuals with each other and with their environment. Swarm intelligence has a marked multidisciplinary character since systems with the above mentioned characteristics can be observed in a variety of domains. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralised control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of intelligent global behaviour, unknown to the individual agents. This book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence that reflect the emerging trends in state-of-the-art algorithms. Hence, the book presents some recent advances on Swarm Intelligence, especially on new swarm-based optimisation methods and hybrid algorithms for several applications.

Handbook Of Research On Swarm Intelligence In Engineering

Автор: Bhattacharyya & Dutta
Название: Handbook Of Research On Swarm Intelligence In Engineering
ISBN: 1466682914 ISBN-13(EAN): 9781466682917
Издательство: Mare Nostrum (Eurospan)
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Цена: 325250.00 T
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Описание: Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored.The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.

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: 44720.00 T
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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.


Multi-objective Swarm Intelligence

Автор: Satchidananda Dehuri; Alok Kumar Jagadev; Mrutyunj
Название: Multi-objective Swarm Intelligence
ISBN: 3662523655 ISBN-13(EAN): 9783662523650
Издательство: Springer
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Цена: 95770.00 T
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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.

Advances in Swarm Intelligence

Автор: Ying Tan; Yuhui Shi; Carlos A Coello Coello
Название: Advances in Swarm Intelligence
ISBN: 331911896X ISBN-13(EAN): 9783319118963
Издательство: Springer
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Цена: 59630.00 T
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Описание: The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods;


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