Evolutionary Computation in Combinatorial Optimization

9th European Conference, EvoCOP 2009, Tübingen, Germany, April 15-17, 2009. Proceedings

  • Carlos Cotta
  • Peter Cowling
Conference proceedings EvoCOP 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5482)

Table of contents

  1. Front Matter
  2. Matthias Prandtstetter, Günther R. Raidl, Thomas Misar
    Pages 25-36
  3. Sílvia M. D. Monteiro, Elizabeth F. G. Goldbarg, Marco C. Goldbarg
    Pages 49-60
  4. Jean-Philippe Hamiez, Julien Robet, Jin-Kao Hao
    Pages 61-72
  5. Marco Baioletti, Alfredo Milani, Valentina Poggioni, Fabio Rossi
    Pages 73-84
  6. Manuel López-Ibáñez, Christian Blum, Dhananjay Thiruvady, Andreas T. Ernst, Bernd Meyer
    Pages 97-108
  7. Stephen Remde, Keshav Dahal, Peter Cowling, Nic Colledge
    Pages 109-120
  8. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
    Pages 121-132
  9. David Rodríguez Rueda, Carlos Cotta, Antonio J. Fernández
    Pages 156-167
  10. Yuichi Nagata, Satoshi Tojo
    Pages 168-179
  11. Lars Kaden, Nicole Weicker, Karsten Weicker
    Pages 204-215

Other volumes

  1. Evolutionary Computation in Combinatorial Optimization
    9th European Conference, EvoCOP 2009, Tübingen, Germany, April 15-17, 2009. Proceedings
  2. 7th European Conference, EvoBIO 2009 Tübingen, Germany, April 15-17, 2009 Proceedings
  3. EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, Germany, in April 2009.

The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.

Keywords

Variable algorithm algorithms combinatorial optimization evolutionary algorithm greedy randomized adaptive search procedure metaheuristic optimization

Editors and affiliations

  • Carlos Cotta
    • 1
  • Peter Cowling
    • 2
  1. 1.Dept. Lenguajes y Ciencias de la Computación, ETSI InformáticaUniversidad de MálagaMálagaSpain
  2. 2.Department of ComputingUniversity of BradfordBradfordUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01009-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01008-8
  • Online ISBN 978-3-642-01009-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book