Intelligent Data Engineering and Automated Learning - IDEAL 2012

13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings

  • Hujun Yin
  • José A. F. Costa
  • Guilherme Barreto

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7435)

Table of contents

  1. Front Matter
  2. Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization

    1. Mohammad Shafiul Alam, Md. Monirul Islam, Kazuyuki Murase
      Pages 1-8
    2. Murilo Zangari, Wesley Romão, Ademir Aparecido Constantino
      Pages 9-18
    3. Zareen Mehboob, Hujun Yin, Sophie M. Wuerger, Laura M. Parkes
      Pages 19-26
    4. Rafael Stubs Parpinelli, Heitor Silvério Lopes
      Pages 27-34
    5. Piyabute Fuangkhon, Thitipong Tanprasert
      Pages 35-42
    6. Luke M. Davis, Barry-John Theobald, Anthony Bagnall
      Pages 43-51
    7. Jon Hills, Luke M. Davis, Anthony Bagnall
      Pages 68-75
    8. Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin
      Pages 76-83
    9. Luneque Silva Junior, Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 84-91
    10. Cordeiro F.R., Lima S.M.L., Silva-Filho A.G., Santos W.P.
      Pages 92-100
    11. Tiago Henrique dos Santos, Alessandro Goedtel, Sérgio Augusto Oliveira da Silva, Marcelo Suetake
      Pages 101-108
    12. José M. Fernández-de-Alba, Pablo Campillo, Rubén Fuentes-Fernández, Juan Pavón
      Pages 109-116
    13. Ricardo de Souza Jacomini, Marcelo Zanchetta do Nascimento, Rogério Daniel Dantas, Rodrigo Pereira Ramos
      Pages 117-126
    14. Michel M. dos Santos, Mêuser J. S. Valença, Wellington P. dos Santos
      Pages 135-142
    15. Chidambaram Chidambaram, Marlon Subtil Marçal, Leyza Baldo Dorini, Hugo Vieira Neto, Heitor Silvério Lopes
      Pages 143-150
    16. Ariadne A. Costa, Antonio C. Roque, Silvio Morato, Renato Tinós
      Pages 151-158

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Keywords

algorithms data mining machine learning pattern recognition swarm optimization

Editors and affiliations

  • Hujun Yin
    • 1
  • José A. F. Costa
    • 2
  • Guilherme Barreto
    • 3
  1. 1.School of Electrical and Electronic EngineeringThe University of ManchesterManchesterUK
  2. 2.Department of Electrical EngineeringFederal University of Rio Grande do NorteNatalBrazil
  3. 3.Department of Teleinformatics EngineeringFederal University of CearáFortalezaBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-32639-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-32638-7
  • Online ISBN 978-3-642-32639-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site