Swarm Intelligence Based Optimization

Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers

  • Patrick Siarry
  • Lhassane Idoumghar
  • Julien Lepagnot
Conference proceedings ICSIBO 2016
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10103)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Plenary Talks

    1. Front Matter
      Pages 1-1
    2. Brigitte Wolf
      Pages 20-38
  3. Regular Papers

    1. Front Matter
      Pages 39-39
    2. Benoit Beroule, Olivier Grunder, Oussama Barakat, Olivier Aujoulat, Helene Lustig
      Pages 41-56
    3. Omar Abdelkafi, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers
      Pages 57-64
    4. Hongjian Wang, Abdelkhalek Mansouri, Jean-Charles Créput, Yassine Ruichek
      Pages 65-74
    5. Mathieu Brévilliers, Omar Abdelkafi, Julien Lepagnot, Lhassane Idoumghar
      Pages 75-86
    6. Dahmri Oualid, Ahmed Riadh Baba-Ali
      Pages 87-101
    7. Charaf Eddine Khamoudj, Karima Benatchba, Mohand Tahar Kechadi
      Pages 102-110
    8. Youcef Abdelsadek, Kamel Chelghoum, Francine Herrmann, Imed Kacem, Benoît Otjacques
      Pages 111-123
  4. Back Matter
    Pages 125-125

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems,  particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.

Keywords

distributed computing genetic algorithm hybridization parallel computing partical swarm optimization artificial intelligence classification combinatorial optimization continuous optimization differential evolution dynamic networks graphics processing unit health care hybrid metaheuristic image segmentation memetic algorithm metaheurisitcs simulated annealing topologies wieghted graphs

Editors and affiliations

  • Patrick Siarry
    • 1
  • Lhassane Idoumghar
    • 2
  • Julien Lepagnot
    • 3
  1. 1.Université Paris-Est CréteilVitry-sur-SeineFrance
  2. 2.LMIA-INRIA Grand EstUniversité de Haute-AlsaceMulhouseFrance
  3. 3.Université de Haute-AlsaceMulhouseFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-50307-3
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-50306-6
  • Online ISBN 978-3-319-50307-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book