Evolutionary Computation in Combinatorial Optimization

15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

  • Gabriela Ochoa
  • Francisco Chicano
Conference proceedings EvoCOP 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9026)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9026)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Leonard Heilig, Eduardo Lalla-Ruiz, Stefan Voß
    Pages 1-12
  3. Pascal Rebreyend, Laurent Lemarchand, Reinhardt Euler
    Pages 13-24
  4. Bin Hu, Andreas Windbichler, Günther R. Raidl
    Pages 25-35
  5. Matthias Prandtstetter, Ulrike Ritzinger, Peter Schmidt, Mario Ruthmair
    Pages 36-47
  6. Travis Desell, Sophine Clachar, James Higgins, Brandon Wild
    Pages 86-98
  7. Richard J. Marshall, Mark Johnston, Mengjie Zhang
    Pages 99-113
  8. Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó
    Pages 126-137
  9. Benjamin Correal, Philippe Galinier
    Pages 150-159
  10. Alexandre Quemy, Marc Schoenauer
    Pages 197-208
  11. Maxim Buzdalov, Mikhail Kever, Benjamin Doerr
    Pages 209-221
  12. Rachel Hunt, Mark Johnston, Mengjie Zhang
    Pages 222-233
  13. Back Matter
    Pages 235-235

About these proceedings


This book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications.

The 19 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic (hybrid) algorithms, iterated local search, variable neighbourhood search, ant colony optimization, artificial immune systems, hyper-heuristics and other adaptive approaches. The applications include both traditional domains, such as graph coloring, knapsack, vehicle routing, job-shop scheduling, the p-median and the orienteering problems; and new(er) domains such as designing deep recurrent neural networks, detecting network community structure, lock scheduling of ships, cloud resource management, the fire-fighter problem and AI planning. The theoretical studies involved approximation ratio, runtime and black-box complexity analyses.


Ant Colony Optimization Artificial Immune Systems Combinatorial Optimisation Discrete Space Search Estimation of Distribution Algorithms Evolutionary Algorithms Genetic Algorithms Graph Problems Hyper-Heuristics Metaheuristics Multi-Objective Optimization Packing and Cutting problems Scheduling Search Methodologies Timetabling Vehicle Routing

Editors and affiliations

  • Gabriela Ochoa
    • 1
  • Francisco Chicano
    • 2
  1. 1.University of StirlingStirlingUnited Kingdom
  2. 2.University of MálagaMálagaSpain

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-16467-0
  • Online ISBN 978-3-319-16468-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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