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Hybrid Metaheuristics

10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016, Proceedings

  • Maria J. Blesa
  • Christian Blum
  • Angelo Cangelosi
  • Vincenzo Cutello
  • ALESSANDRO DI NUOVO
  • Mario Pavone
  • El-Ghazali Talbi
Conference proceedings HM 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9668)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9668)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Benedikt Klocker, Herbert Fleischner, Günther R. Raidl
    Pages 1-16
  3. Philip Mourdjis, Yujie Chen, Fiona Polack, Peter Cowling, Martin Robinson
    Pages 32-46
  4. Danny Munera, Daniel Diaz, Salvador Abreu
    Pages 47-61
  5. Michal Pluhacek, Roman Senkerik, Adam Viktorin, Ivan Zelinka
    Pages 75-86
  6. Michael Prischink, Christian Kloimüllner, Benjamin Biesinger, Günther R. Raidl
    Pages 87-103
  7. Rodrigo Recoba, Franco Robledo, Pablo Romero, Omar Viera
    Pages 104-117
  8. Janniele A. S. Araujo, Haroldo G. Santos, Davi D. Baltar, Túlio A. M. Toffolo, Tony Wauters
    Pages 118-130
  9. Adam Viktorin, Roman Senkerik, Michal Pluhacek
    Pages 145-156
  10. Khaled Alrajhi, Jonathan Thompson, Wasin Padungwech
    Pages 157-170
  11. Gabriel Bayá, Antonio Mauttone, Franco Robledo, Pablo Romero
    Pages 171-186
  12. Back Matter
    Pages 223-223

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016.

The 15 revised full papers presented were carefully reviewed and selected from 43 submissions. The selected papers are of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction problems. They represent as well a sample of current research demonstrating how metaheuristics can be integrated with integer linear programming and other operational research techniques for tackling difficult and relevant problems.

Keywords

computing methodologies heuristics metaheuristics particle swarm optimization search methodologies applied computing artificial intelligence combinatorial optimization computation by abstract devices driverless vehicles evolutionary programming genetic algorithm hybrid metaheuristics multi-objective optimization network optimization numeric computing robustness routing simulated annealing tabu search

Editors and affiliations

  • Maria J. Blesa
    • 1
  • Christian Blum
    • 2
  • Angelo Cangelosi
    • 3
  • Vincenzo Cutello
    • 4
  • ALESSANDRO DI NUOVO
    • 5
  • Mario Pavone
    • 6
  • El-Ghazali Talbi
    • 7
  1. 1.Universitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.University of the Basque CountrySan SebastianSpain
  3. 3.Universiy of PlymouthPlymouthUnited Kingdom
  4. 4.University of CataniaCataniaItaly
  5. 5.ComputingSheffield Hallam UniversitySHEFFIELDUnited Kingdom
  6. 6.University of CataniaCataniaItaly
  7. 7.University of Lille 1Villeneuve d'AscqFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-39636-1
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-39635-4
  • Online ISBN 978-3-319-39636-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site