Cohort Intelligence: A Socio-inspired Optimization Method, Kulkarni

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.

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: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642263186 ISBN-13(EAN): 9783642263187
Издательство: Springer
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Цена: 261210.00 T
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Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Автор: Hirotaka Nakayama; Yeboon Yun; Min Yoon
Название: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
ISBN: 3540889094 ISBN-13(EAN): 9783540889090
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.

Автор: Hirotaka Nakayama; Yeboon Yun; Min Yoon
Название: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
ISBN: 3642100309 ISBN-13(EAN): 9783642100307
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642107001 ISBN-13(EAN): 9783642107009
Издательство: Springer
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Цена: 287330.00 T
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Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Optimization
ISBN: 3642263615 ISBN-13(EAN): 9783642263613
Издательство: Springer
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Цена: 204040.00 T
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Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

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.

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: 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: 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.