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Studies in Computational Intelligence

Parallel and Distributed Computational Intelligence

Editors: Fernández de Vega, Francisco, Cantú-Paz, Erick (Eds.)

  • Latest research in parallel and distributed computational intelligence

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eBook $189.00
price for USA (gross)
  • ISBN 978-3-642-10675-0
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Hardcover $249.00
price for USA
  • ISBN 978-3-642-10674-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
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  • ISBN 978-3-642-26332-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The growing success of biologically inspired algorithms in solving large and complex problems has spawned many interesting areas of research. Over the years, one of the mainstays in bio-inspired research has been the exploitation of parallel and distributed environments to speedup computations and to enrich the algorithms. From the early days of research on bio-inspired algorithms, their inherently parallel nature was recognized and different parallelization approaches have been explored. Parallel algorithms promise reductions in execution time and open the door to solve increasingly larger problems. But parallel platforms also inspire new bio-inspired parallel algorithms that, while similar to their sequential counterparts, explore search spaces differently and offer improvements in solution quality.

The objective in editing this book was to assemble a sample of the best work in parallel and distributed biologically inspired algorithms. The editors invited researchers in different domains to submit their work. They aimed to include diverse topics to appeal to a wide audience. Some of the chapters summarize work that has been ongoing for several years, while others describe more recent exploratory work. Collectively, these works offer a global snapshot of the most recent efforts of bioinspired algorithms’ researchers aiming at profiting from parallel and distributed computer architectures—including GPUs, Clusters, Grids, volunteer computing and p2p networks as well as multi-core processors. This volume will be of value to a wide set of readers, including, but not limited to specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to figure out new paths towards the future of computational intelligence.

Table of contents (14 chapters)

  • Introduction

    Vega, Francisco Fernández (et al.)

    Pages 1-9

  • When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing

    Llorà, Xavier (et al.)

    Pages 11-41

  • Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms

    Jimenez Laredo, Juan Luis (et al.)

    Pages 43-62

  • Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project

    Cole, Nate (et al.)

    Pages 63-90

  • Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence Approach

    Pani, Danilo (et al.)

    Pages 91-112

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-3-642-10675-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-3-642-10674-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-3-642-26332-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Parallel and Distributed Computational Intelligence
Editors
  • Francisco Fernández de Vega
  • Erick Cantú-Paz
Series Title
Studies in Computational Intelligence
Series Volume
269
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-642-10675-0
DOI
10.1007/978-3-642-10675-0
Hardcover ISBN
978-3-642-10674-3
Softcover ISBN
978-3-642-26332-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
VI, 349
Topics