Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), German Terrazas; Fernando E. B. Otero; Antonio D.

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: 204040.00 T
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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: 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: 204040.00 T
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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: 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: 156720.00 T
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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: Omid Bozorg-Haddad
Название: Advanced Optimization by Nature-Inspired Algorithms
ISBN: 9811052204 ISBN-13(EAN): 9789811052200
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

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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Цена: 148020.00 T
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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: 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: 204040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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; 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: 186330.00 T
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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: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Xin-She Yang
Название: Nature-Inspired Algorithms and Applied Optimization
ISBN: 3319676687 ISBN-13(EAN): 9783319676685
Издательство: Springer
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Цена: 139750.00 T
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Описание: Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642438776 ISBN-13(EAN): 9783642438776
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Автор: Yongsheng Ding; Lei Chen; Kuangrong Hao
Название: Bio-Inspired Collaborative Intelligent Control and Optimization
ISBN: 9811066884 ISBN-13(EAN): 9789811066887
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications.