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  • © 2010

Advances in Multi-Objective Nature Inspired Computing

  • Recent research in multi-objective nature inspired computing

Part of the book series: Studies in Computational Intelligence (SCI, volume 272)

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eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-11218-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 199.99
Price excludes VAT (USA)

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Table of contents (8 chapters)

  1. Front Matter

  2. Multi-Objective Combinatorial Optimization: Problematic and Context

    • Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan
    Pages 1-21
  3. On the Velocity Update in Multi-Objective Particle Swarm Optimizers

    • Juan J. Durillo, Antonio J. Nebro, José García-Nieto, Enrique Alba
    Pages 45-62
  4. ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization

    • Arnaud Liefooghe, Laetitia Jourdan, Thomas Legrand, Jérémie Humeau, El-Ghazali Talbi
    Pages 87-117
  5. A Bi-objective Metaheuristic for Disaster Relief Operation Planning

    • Pamela C. Nolz, Karl F. Doerner, Walter J. Gutjahr, Richard F. Hartl
    Pages 167-187
  6. Back Matter

About this book

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Keywords

  • algorithm
  • combinatorial optimization
  • evolution
  • evolutionary algorithm
  • heuristics
  • metaheuristic
  • multi-objective optimization
  • operations research
  • optimization

Editors and Affiliations

  • Depto. de Computación, CINVESTAV-IPN, México, Mexico

    Carlos A. Coello Coello

  • Parc scientifique de la Haute-Borne, LIFL/CNRS/Polytech’Lille/INRIA, Villeneuve d’Ascq, France

    Clarisse Dhaenens

  • Parc scientifique de la Haute-Borne, INRIA/LIFL/CNRS, Villeneuve d’Ascq, France

    Laetitia Jourdan

Bibliographic Information

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-11218-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 199.99
Price excludes VAT (USA)