Advances in Multi-Objective Nature Inspired Computing

  • Carlos A. Coello Coello
  • Clarisse Dhaenens
  • Laetitia Jourdan

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

Table of contents

  1. Front Matter
  2. Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan
    Pages 1-21
  3. Juan J. Durillo, Antonio J. Nebro, José García-Nieto, Enrique Alba
    Pages 45-62
  4. Arnaud Liefooghe, Laetitia Jourdan, Thomas Legrand, Jérémie Humeau, El-Ghazali Talbi
    Pages 87-117
  5. 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.


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

Editors and affiliations

  • Carlos A. Coello Coello
    • 1
  • Clarisse Dhaenens
    • 2
  • Laetitia Jourdan
    • 3
  1. 1.Depto. de ComputaciónCINVESTAV-IPNMéxicoMexico
  2. 2.Parc scientifique de la Haute-BorneLIFL/CNRS/Polytech’Lille/INRIAVilleneuve d’AscqFrance
  3. 3.Parc scientifique de la Haute-BorneINRIA/LIFL/CNRSVilleneuve d’AscqFrance

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-11217-1
  • Online ISBN 978-3-642-11218-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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