Swarm Intelligence, Marco Dorigo; Mauro Birattari; Christian Blum; And

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.

Автор: Ying Tan
Название: Handbook of Research on Fireworks Algorithms and Swarm Intelligence
ISBN: 1799816591 ISBN-13(EAN): 9781799816591
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
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Описание: In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe. Several algorithms inside swarm intelligence have been implemented due to their application to real-world issues and other advantages. A specific procedure, Fireworks Algorithm, is an emerging method that studies the explosion process of fireworks within local areas. Applications of this developing program are undiscovered, and research is necessary for scientists to fully understand the workings of this innovative system.

The Handbook of Research on Fireworks Algorithms and Swarm Intelligence is a pivotal reference source that provides vital research on theory analysis, improvements, and applications of fireworks algorithm. While highlighting topics such as convergence rate, parameter applications, and global optimization analysis, this publication explores up-to-date progress on the specific techniques of this algorithm. This book is ideally designed for researchers, data scientists, mathematicians, engineers, software developers, postgraduates, and academicians seeking coverage on this evolutionary computation method.

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: 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: Adam Slowik
Название: Swarm Intelligence Algorithms: A Tutorial
ISBN: 1138384496 ISBN-13(EAN): 9781138384491
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms to solve various computational problems. It is useful for students studying nature-based optimization algorithms, and can be a helpful for learning the basics of these algorithms efficiently.

Автор: Adam Slowik
Название: Swarm Intelligence Algorithms: Modifications and Applications
ISBN: 1138391018 ISBN-13(EAN): 9781138391017
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642260535 ISBN-13(EAN): 9783642260537
Издательство: Springer
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Цена: 194730.00 T
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Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319938142 ISBN-13(EAN): 9783319938141
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;

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.

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319938177 ISBN-13(EAN): 9783319938172
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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;

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642036244 ISBN-13(EAN): 9783642036248
Издательство: Springer
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Цена: 194730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

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;