Advertisement

Evolutionary Computation in Combinatorial Optimization

16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 – April 1, 2016, Proceedings

  • Francisco Chicano
  • Bin Hu
  • Pablo García-Sánchez

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9595)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9595)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Nuno Lourenço, Francisco B. Pereira, Ernesto Costa
    Pages 34-45
  3. Gabriela Ochoa, Nadarajen Veerapen
    Pages 58-73
  4. Francisco Chicano, Darrell Whitley, Renato Tinós
    Pages 88-103
  5. Yujie Chen, Philip Mourdjis, Fiona Polack, Peter Cowling, Stephen Remde
    Pages 104-120
  6. Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic, Nele Mentens
    Pages 121-137
  7. Brian W. Goldman, William F. Punch
    Pages 154-169
  8. Fawaz Alanazi, Per Kristian Lehre
    Pages 170-185
  9. Bradley Hardy, Rhyd Lewis, Jonathan Thompson
    Pages 186-201
  10. Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang
    Pages 202-218
  11. Boxiong Tan, Yi Mei, Hui Ma, Mengjie Zhang
    Pages 219-234
  12. Back Matter
    Pages 267-267

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications.
The 17 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic algorithms, variable neighborhood search, particle swarm optimization, hyperheuristics, mat-heuristic and other adaptive approaches. Applications included both traditional domains, such as graph coloring, vehicle routing, the longest common subsequence problem, the quadratic assignment problem; and new(er) domains such as the traveling thief problem, web service location, and finding short addition chains. The theoretical studies involved fitness landscape analysis, local search and recombination operator analysis, and the big valley search space hypothesis. The consideration of multiple objectives, dynamic and noisy environments was also present in a number of articles.

Keywords

Evolutionary algorithms Hyper-heuristics Metaheuristics Multi-objective optimisation Particle swarm optimisation Ant colony optimization Artificial immune systems Combinatorial optimisation Discrete space search Estimation of distribution algorithms Genetic algorithms Graph problem Local optima networks Permutation problems Quadratic assignment Scheduling Search methodologies Timetabling Travelling thief problem Vehicle routing

Editors and affiliations

  • Francisco Chicano
    • 1
  • Bin Hu
    • 2
  • Pablo García-Sánchez
    • 3
  1. 1.University of MálagaMálagaSpain
  2. 2.Austrian Insttitute of TechnologyViennaAustria
  3. 3.University of GranadaGranadaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-30698-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-30697-1
  • Online ISBN 978-3-319-30698-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site