What Algorithms Want: Imagination in the Age of Computing, Finn Ed

Автор: Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beli
Название: Adaptive and Natural Computing Algorithms
ISBN: 3642049206 ISBN-13(EAN): 9783642049200
Издательство: Springer
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Цена: 111790.00 T
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Описание: The ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scienti?c community. Originally ICANNGA stood for "International Conference on Arti?cial Neural Networks and Genetic Algorithms," but in 2005 the conference was renamed to "International C- ference on Adaptive and Natural Computing Algorithms," while keeping the acronymICANNGA.The?rstICANNGAconferencewasheldinInnsbruckA- tria (1993), then Al es in France (1995), Norwich in the UK (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001), Roanne in France (2003), CoimbrainPortugal(2005)andWarsawinPoland(2007).ContinuingthisEu- peantradition, the9thICANNGA washeldinKuopio, Finland(2009).Thevast majority of ICANNGA conferences is organized by and based at a university. Drawing on the experience of previous events and following the same g- eral model, ICANNGA 2009 combined plenary lectures and technical sessions. Apart from being a widely recognized conference, it enhanced the possibility to exchange opinions through lectures and discussions, provided a great oppor- nity to meet new colleagues, as well as to renew old friendships and to facilitate the possibilities for international collaborations. As previously, the conference proceedings are published in the Springer LNCS series.

Автор: Fong, Simon James, Millham, Richard C
Название: Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
ISBN: 9811566941 ISBN-13(EAN): 9789811566943
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases.

Автор: Dey Nilanjan, Ashour Amira S., Bhattacharyya Siddhartha
Название: Applied Nature-Inspired Computing: Algorithms and Case Studies
ISBN: 9811392625 ISBN-13(EAN): 9789811392627
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Автор: Jairo R. Montoya-Torres, Angel A. Juan, Luisa Huaccho Huatuco, Javier Faulin, Gloria L. Rodriguez-Verjan
Название: Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions
ISBN: 1613500866 ISBN-13(EAN): 9781613500866
Издательство: Mare Nostrum (Eurospan)
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Цена: 174630.00 T
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Описание: Explores research developments and applications from an interdisciplinary perspective that combines approaches from operations research, computer science, artificial intelligence, and applied computational mathematics. Contributions cover a range of hybrid algorithm theory and practice as it relates to routing, scheduling, and real-life applications.

Автор: S.K. Basu
Название: Parallel and Distributed Computing: Architectures and Algorithms
ISBN: 8120352122 ISBN-13(EAN): 9788120352124
Издательство: Mare Nostrum (Eurospan)
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Цена: 23100.00 T
Наличие на складе: Невозможна поставка.
Описание: This concise text is designed to present the recent advances in parallel and distributed architectures and algorithms within an integrated framework. Beginning with an introduction to the basic concepts, the book goes on discussing the basic methods of parallelism exploitation in computation through vector processing, super scalar and VLIW processing, array processing, associative processing, systolic algorithms, and dataflow computation. After introducing interconnection networks, it discusses parallel algorithms for sorting, Fourier transform, matrix algebra, and graph theory. The second part focuses on basics and selected theoretical issues of distributed processing. Architectures and algorithms have been dealt in an integrated way throughout the book. The last chapter focuses on the different paradigms and issues of high performance computing making the reading more interesting.

Автор: Mitzenmacher
Название: Probability and Computing
ISBN: 110715488X ISBN-13(EAN): 9781107154889
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.

Автор: Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin
Название: Adaptive and Natural Computing Algorithms
ISBN: 3540715908 ISBN-13(EAN): 9783540715900
Издательство: Springer
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Цена: 121110.00 T
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Описание: The two volume set LNCS 4431 and LNCS 4432 constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions.