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Swarm Intelligence for Electric and Electronic Engineering, Girolamo Fornarelli, Luciano Mescia


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Автор: Girolamo Fornarelli, Luciano Mescia
Название:  Swarm Intelligence for Electric and Electronic Engineering
ISBN: 9781466626669
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1466626666
Обложка/Формат: Hardcover
Страницы: 368
Вес: 1.26 кг.
Дата издания: 30.12.2012
Серия: Engineering
Язык: English
Иллюстрации: 1, black & white illustrations
Размер: 285 x 218 x 31
Читательская аудитория: Professional and scholarly
Ключевые слова: Electronics engineering
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Поставляется из: Англии
Описание: With growing developments in artificial intelligence and focus on swarm behaviours; algorithms have been utilised in solving a variety of problems in the field of engineering. This approach has been specifically suited to face the challenges in electric and electronic engineering. <br><br><em>Swarm Intelligence for Electric and Electronic Engineering</em> provides an exchange of knowledge on the advances, discoveries, and improvements of swarm intelligence in electric and electronic engineering. This comprehensive collection aims to bring together new swarm-based algorithms as well as approaches to complex problems and various real-world applications.

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;

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.

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

Advances in Swarm Intelligence

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319938177 ISBN-13(EAN): 9783319938172
Издательство: Springer
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Цена: 46570.00 T
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Описание: The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. ant colony optimization; particle swarm optimization; other swarm-based optimization algorithms; hybrid optimization algorithms;

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.

Advances in Swarm and Computational Intelligence

Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G
Название: Advances in Swarm and Computational Intelligence
ISBN: 3319204718 ISBN-13(EAN): 9783319204710
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.

GPU-based Parallel Implementation of Swarm Intelligence Algorithm

Автор: Ying Tan
Название: GPU-based Parallel Implementation of Swarm Intelligence Algorithm
ISBN: 0128093625 ISBN-13(EAN): 9780128093627
Издательство: Elsevier Science
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Цена: 88690.00 T
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Описание: . GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. . This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

Advances in Swarm and Computational Intelligence

Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G
Название: Advances in Swarm and Computational Intelligence
ISBN: 3319204653 ISBN-13(EAN): 9783319204659
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.

Advances in Swarm Intelligence

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi
Название: Advances in Swarm Intelligence
ISBN: 3319618237 ISBN-13(EAN): 9783319618234
Издательство: Springer
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Цена: 83850.00 T
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Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. novel swarm-based optimization algorithms; applications of particle swarm optimization; hybrid optimization algorithms and applications;

Advances in Swarm Intelligence

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319410083 ISBN-13(EAN): 9783319410081
Издательство: Springer
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Цена: 76400.00 T
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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.

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.

Projection-Based Clustering through Self-Organization and Swarm Intelligence

Автор: Thrun
Название: Projection-Based Clustering through Self-Organization and Swarm Intelligence
ISBN: 3658205393 ISBN-13(EAN): 9783658205393
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS).


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