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  • © 2012

Parallel Architectures and Bioinspired Algorithms

  • Recent research in Parallel Architectures and Bioinspired Algorithms
  • Presents an important applicaton of bioinspired algorithms
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 415)

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Table of contents (12 chapters)

  1. Front Matter

    Pages 1-5
  2. Introduction

    • Francisco Fernández de Vega, J. Ignacio Hidalgo, Juan Lanchares
    Pages 1-6
  3. Characterizing Fault-Tolerance in Evolutionary Algorithms

    • Daniel Lombraña González, Juan Luis Jiménez Laredo, Francisco Fernández de Vega, Juan Julián Merelo Guervós
    Pages 77-99
  4. An Empirical Study of Parallel and Distributed Particle Swarm Optimization

    • Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
    Pages 125-150
  5. The Generalized Island Model

    • Dario Izzo, Marek Ruciński, Francesco Biscani
    Pages 151-169
  6. Evolutionary Associative Memories through Genetic Programming

    • Juan Villegas-Cortez, Gustavo Olague, Humberto Sossa, Carlos Avilés
    Pages 171-188
  7. Parallel Architectures for Improving the Performance of a GA Based Trading System

    • Iván Contreras, J. Ignacio Hidalgo, Laura Nuñez-Letamendía, Yiyi Jiang
    Pages 189-218
  8. A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data

    • Una-May O’Reilly, Nadya Bliss, Sanjeev Mohindra, Julie Mullen, Eric Robinson
    Pages 219-241
  9. Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator

    • Alberto Guillén, Dušan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares et al.
    Pages 243-266
  10. A Chemical Evolutionary Mechanism for Instantiating Service-Based Applications

    • Maurizio Giordano, Claudia Di Napoli
    Pages 267-286
  11. Back Matter

    Pages 0--1

About this book

This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future.

Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms.

Editors and Affiliations

  • Centro Universitario de Mérida, Universidad de Extremadura, Mérida, Spain

    Francisco Fernández de Vega

  • Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    José Ignacio Hidalgo Pérez, Juan Lanchares

Bibliographic Information

  • Book Title: Parallel Architectures and Bioinspired Algorithms

  • Editors: Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, Juan Lanchares

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-28789-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-28788-6Published: 28 April 2012

  • Softcover ISBN: 978-3-642-42736-7Published: 09 May 2014

  • eBook ISBN: 978-3-642-28789-3Published: 27 April 2012

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VI, 290

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access