Skip to main content

Parallel Evolutionary Computations

  • Book
  • © 2006

Overview

  • Recent advances in evolutionary computations

Part of the book series: Studies in Computational Intelligence (SCI, volume 22)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Parallel Evolutionary Optimization

  2. Parallel Hardware for Genetic Algorithms

  3. Distributed Evolutionary Computation

  4. Parallel Particle Swarm Optimization

Keywords

About this book

"Parallel Evolutionary Computation" focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.
The book is divided into four parts. The first part deals with a clear software-like and algorithmic vision on parallel evolutionary optimizations. The second part is about hardware implementations of genetic algorithms, a valuable topic which is hard to find in the present literature. The third part treats the problem of distributed evolutionary computation and presents three interesting applications wherein parallel EC new ideas are featured. Finally, the last part deals with the up-to-date field of parallel particle swarm optimization to illustrate the intrinsic similarities and potential extensions to techniques in this domain. The book offers a wide spectrum of sample works developed in leading research throughout the world about parallel implementations of efficient techniques at the heart of computational intelligence. It will be useful both for beginners and experienced researchers in the field of computational intelligence.

Editors and Affiliations

  • Department of System Engineering and Computation, Faculty of Engineering State University of Rio de Janeiro Rua São Francisco Xavier, Rio de Janeiro, Brazil

    Nadia Nedjah, Luiza de Macedo Mourelle

  • Depto. of Lenguajes y Ciencias de la Computación Campus de Teatinos, Universidad de Málaga, Málaga, Spain

    Enrique Alba

Bibliographic Information

  • Book Title: Parallel Evolutionary Computations

  • Editors: Nadia Nedjah, Luiza de Macedo Mourelle, Enrique Alba

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/3-540-32839-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2006

  • Hardcover ISBN: 978-3-540-32837-7Published: 08 May 2006

  • Softcover ISBN: 978-3-642-06939-0Published: 30 November 2010

  • eBook ISBN: 978-3-540-32839-1Published: 29 August 2006

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXIII, 201

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

Publish with us