Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi Название: Advances in Swarm Intelligence ISBN: 3319618237 ISBN-13(EAN): 9783319618234 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi; Ben Niu Название: Advances in Swarm Intelligence ISBN: 3319618326 ISBN-13(EAN): 9783319618326 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference 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;
Автор: Tan Название: Advances in Swarm Intelligence ISBN: 3319409999 ISBN-13(EAN): 9783319409993 Издательство: Springer Рейтинг: Цена: 11460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Tan Название: Advances in Swarm Intelligence ISBN: 3319410083 ISBN-13(EAN): 9783319410081 Издательство: Springer Рейтинг: Цена: 11460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation
Автор: Ying Tan; Yuhui Shi; Carlos A Coello Coello Название: Advances in Swarm Intelligence ISBN: 331911896X ISBN-13(EAN): 9783319118963 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
Автор: Tan Название: Advances in Swarm Intelligence ISBN: 3319938142 ISBN-13(EAN): 9783319938141 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G Название: Advances in Swarm and Computational Intelligence ISBN: 3319204688 ISBN-13(EAN): 9783319204680 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G Название: Advances in Swarm and Computational Intelligence ISBN: 3319204718 ISBN-13(EAN): 9783319204710 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G Название: Advances in Swarm and Computational Intelligence ISBN: 3319204653 ISBN-13(EAN): 9783319204659 Издательство: Springer Рейтинг: Цена: 11180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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.
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