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Springer Parallel and Distributed Computational Intelligence 269

33 black & white tables, 22 black & whit

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Description

Explore advanced concepts in high-performance computing with Parallel and Distributed Computational Intelligence, volume 269 of the Studies in Computational Intelligence series from Springer. This academic resource addresses the challenges of scaling complex algorithms to meet the demands of data-intensive computing environments. The text covers a wide range of specialized topics, including the scaling of Genetic Algorithms and Estimation of Distribution Algorithms. It examines innovative frameworks such as Evolvable Agents for peer-to-peer evolutionary algorithms and the use of volunteer computing platforms like the MilkyWay@Home project. Readers will find detailed research on self-coordinated on-chip parallel computing using swarm intelligence and large-scale bioinformatics data mining utilizing parallel genetic programming on GPUs. This collection provides a deep look into parallel multi-objective optimization and reviews current progress in parallel estimation of distribution algorithms, making it a valuable resource for researchers and professionals in AI and machine learning.

Key Features

Covers scaling Genetic Algorithms and Estimation of Distribution Algorithms for data-intensive computing tasks.

Discusses Evolvable Agents as a framework for peer-to-peer evolutionary algorithms.

Examines evolutionary algorithms applied to volunteer computing platforms like the MilkyWay@Home project.

Provides research on self-coordinated on-chip parallel computing through swarm intelligence approaches.

Details large scale bioinformatics data mining using parallel genetic programming on Graphics Processing Units.

Includes a review on parallel Estimation of Distribution Algorithms for academic study.

Explores parallel multi-objective optimization using self-organized heterogeneous resources.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 September 2010
Listed Since
27 October 2009

Barcode

No barcode data available

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