Nature-Inspired Computation in Engineering, Xin-She Yang

Автор: Muddassar Farooq
Название: Bee-Inspired Protocol Engineering
ISBN: 3642099467 ISBN-13(EAN): 9783642099465
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book introduces a multipath routing algorithm for packet-switched telecommunication networks based on techniques observed in bee colonies. The algorithm, BeeHive, represents an important step towards intelligent networks that optimally manage resources.

Автор: Phan Cong Vinh; Leonard Barolli
Название: Nature of Computation and Communication
ISBN: 3319469088 ISBN-13(EAN): 9783319469089
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the post-conference proceedings of the Second International Conference on Nature of Computation and Communication, ICTCC 2016, held in March 2016 in Rach Gia, Vietnam. The 36 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication.

Автор: Natalio Krasnogor; Vincenzo Nicosia; Mario Pavone;
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
ISBN: 3642097790 ISBN-13(EAN): 9783642097799
Издательство: Springer
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Цена: 27950.00 р.
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Описание: The aim of NICSO 2007 was to provide a forum where the latest ideas and state-of-the-art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected here were strictly peer reviewed.

Автор: Raymond Chiong
Название: Nature-Inspired Algorithms for Optimisation
ISBN: 3642101305 ISBN-13(EAN): 9783642101304
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Nature-inspired algorithms have become popular because many real-world optimization problems have become increasingly large, complex and dynamic. This book covers the latest algorithms and important studies for tackling various kinds of optimization problems.

Автор: Carlos Coello Coello; Clarisse Dhaenens; Laetitia
Название: Advances in Multi-Objective Nature Inspired Computing
ISBN: 364211217X ISBN-13(EAN): 9783642112171
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Recent advances in multi-objective, nature-inspired computing is presented in this comprehensive reference. This collection provides the non-expert with an overview of the field, and aims to motivate researchers to contribute to the field.

Автор: Carlos Cruz; Juan R. Gonz?lez; Natalio Krasnogor;
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)
ISBN: 3642125379 ISBN-13(EAN): 9783642125379
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as fresh algorithms based on the behaviour of fireflies or bats.

Автор: David Alejandro Pelta; Natalio Krasnogor; Dan Dumi
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
ISBN: 3642269915 ISBN-13(EAN): 9783642269912
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book presents the latest ideas and techniques in nature inspired cooperative strategies, covering swarm intelligence; genetic algorithms; coevolution and cooperation; evolutionary design; hybrid algorithms and membrane computing (P-Systems) and more.

Автор: German Terrazas; Fernando E. B. Otero; Antonio D.
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)
ISBN: 3319016911 ISBN-13(EAN): 9783319016917
Издательство: Springer
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Описание: Collecting research presented at NICSO 2013, this book reports on nature-inspired methods and applications including Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Ant Clustering and many others.

Автор: Xin-She Yang
Название: Bio-Inspired Computation and Applications in Image Processing
ISBN: 0128045361 ISBN-13(EAN): 9780128045367
Издательство: Elsevier Science
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Цена: 17517.00 р.
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Описание:

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field.

Автор: Natalio Krasnogor; Bel?n Meli?n-Batista; Jos? A. M
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
ISBN: 3642260349 ISBN-13(EAN): 9783642260346
Издательство: Springer
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Цена: 30606.00 р.
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Описание: As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum where the latest ideas and state- of-the-art research related to nature inspired cooperative strategies for problem solving were discussed.

Автор: Natalio Krasnogor; Bel?n Meli?n-Batista; Jos? A. M
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
ISBN: 3642032109 ISBN-13(EAN): 9783642032103
Издательство: Springer
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Цена: 30606.00 р.
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Описание: As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum where the latest ideas and state- of-the-art research related to nature inspired cooperative strategies for problem solving were discussed.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Nature-Inspired Design of Hybrid Intelligent Systems
ISBN: 3319470531 ISBN-13(EAN): 9783319470535
Издательство: Springer
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Цена: 34937.00 р.
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Описание: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.