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Swarm Intelligence Based Optimization

First International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014. Revised Selected Papers

  • Patrick Siarry
  • Lhassane Idoumghar
  • Julien Lepagnot
Conference proceedings ICSIBO 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8472)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 8472)

Table of contents

  1. Front Matter
    Pages I-X
  2. Yucheng Kao, Ming-Hsien Chen, Kai-Ming Hsieh
    Pages 1-8
  3. Rashed Poormirzaee, Rasoul Hamidzadeh Moghadam
    Pages 26-34
  4. Mahamed G. H. Omran, Maurice Clerc, Ayed Salman, Salah Alsharhan
    Pages 35-41
  5. Jiawei Zhu, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire
    Pages 42-49
  6. Riad Menasri, Hamouche Oulhadj, Boubaker Daachi, Amir Nakib, Patrick Siarry
    Pages 50-59
  7. Omar Abdelkafi, Julien Lepagnot, Lhassane Idoumghar
    Pages 60-67
  8. Alina Mereuta, Sébastien Aupetit, Nicolas Monmarché, Mohamed Slimane
    Pages 80-88
  9. Bernd Bassimir, Manuel Schmitt, Rolf Wanka
    Pages 98-105
  10. Charly Lersteau, Marc Sevaux, André Rossi
    Pages 123-130
  11. Pierre Parrend, Pierre Masai, Cecilia Zanni-Merk, Pierre Collet
    Pages 131-138
  12. Cédric Leboucher, Patrick Siarry, Stéphane Le Ménec, Hyo-Sang Shin, Rachid Chelouah, Antonios Tsourdos
    Pages 139-156
  13. Fabrice Lauri, Abderrafiaa Koukam
    Pages 157-165
  14. Dominique Chamoret, Sébastien Salmon, Noelie Di Cesare, Yingjie J. Xu
    Pages 166-174
  15. Back Matter
    Pages 193-193

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014.
The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: 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 foraging, 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

ant colony optimization artificial immune system bee foraging bio-inspired clustering combinatorial optimization continuous optimization discrete optimization flowshop scheduling hybrid algorithms machine learning metaheuristics mixed discrete-continuous optimization operations research optimization algorithms parallel algorithms particle swarm optimization swarm intelligence wireless sensor networks

Editors and affiliations

  • Patrick Siarry
    • 1
  • Lhassane Idoumghar
    • 2
  • Julien Lepagnot
    • 3
  1. 1.Univ Paris-Est Créteil UPEC LISSIVitry Sur SeineFrance
  2. 2.Université de Haute Alsace LMIA-INRIA Grand EstMulhouseFrance
  3. 3.Université de Haute-Alsace, LMIAMulhouseFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12970-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12969-3
  • Online ISBN 978-3-319-12970-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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