Evolutionary Computation in Combinatorial Optimization

11th European Conference, EvoCOP 2011, Torino, Italy, April 27-29, 2011. Proceedings

  • Peter Merz
  • Jin-Kao Hao
Conference proceedings EvoCOP 2011
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6622)

Table of contents

  1. Front Matter
  2. Matthew J. Craven, Henri C. Jimbo
    Pages 26-37
  3. Federico Della Croce, Andrea Grosso, Fabio Salassa
    Pages 38-47
  4. Arnaud Liefooghe, Luís Paquete, Marco Simões, José R. Figueira
    Pages 48-59
  5. Yang Wang, Zhipeng Lü, Fred Glover, Jin-Kao Hao
    Pages 72-83
  6. Yves Caniou, Philippe Codognet, Daniel Diaz, Salvador Abreu
    Pages 96-107
  7. He Jiang, Shuyan Zhang, Jifeng Xuan, Youxi Wu
    Pages 118-129
  8. Giacomo di Tollo, Frédéric Lardeux, Jorge Maturana, Frédéric Saubion
    Pages 130-141
  9. Teodor Gabriel Crainic, Simona Mancini, Guido Perboli, Roberto Tadei
    Pages 179-190
  10. Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
    Pages 191-202
  11. Gianpiero Francesca, Paola Pellegrini, Thomas Stützle, Mauro Birattari
    Pages 203-214

Other volumes

  1. Evolutionary Computation in Combinatorial Optimization
    11th European Conference, EvoCOP 2011, Torino, Italy, April 27-29, 2011. Proceedings
  2. 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings
  3. EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I
  4. EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 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

computational geometry genetic algorithms hyper-heuristics multiobjective optimization route planning

Editors and affiliations

  • Peter Merz
    • 1
  • Jin-Kao Hao
    • 2
  1. 1.Department of Business Administration and Computer ScienceUniversity of Applied Sciences and ArtsHannoverGermany
  2. 2.Faculty of SciencesUniversity of AngersAngersFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-20364-0
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-20363-3
  • Online ISBN 978-3-642-20364-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book