Simulated Evolution and Learning

10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings

  • Grant Dick
  • Will N. Browne
  • Peter Whigham
  • Mengjie Zhang
  • Lam Thu Bui
  • Hisao Ishibuchi
  • Yaochu Jin
  • Xiaodong Li
  • Yuhui Shi
  • Pramod Singh
  • Kay Chen Tan
  • Ke Tang
Conference proceedings SEAL 2014
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8886)

Table of contents

  1. Front Matter
  2. Evolutionary Optimization

    1. AbdelMonaem F. M. AbdAllah, Daryl L. Essam, Ruhul A. Sarker
      Pages 1-12
    2. Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber
      Pages 13-24
    3. Ya-Hui Jia, Wei-Neng Chen, Jun Zhang, Jing-Jing Li
      Pages 37-47
    4. Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
      Pages 82-93
    5. Roberto Santana, Alexander Mendiburu, Jose A. Lozano
      Pages 94-105
    6. Martin Drozdik, Kiyoshi Tanaka, Hernan Aguirre, Sebastien Verel, Arnaud Liefooghe, Bilel Derbel
      Pages 143-154
    7. Rolando Armas, Hernán Aguirre, Kiyoshi Tanaka
      Pages 167-179
    8. Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
      Pages 180-191
  3. Evolutionary Multi-objective Optimization

    1. Xin Qiu, Ye Huang, Jian-Xin Xu, Kay Chen Tan
      Pages 192-203
    2. He Jiang, Wencheng Sun, Zhilei Ren, Xiaochen Lai, Yong Piao
      Pages 216-227

About these proceedings

Introduction

This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.

Keywords

evolutionary algorithm fuzzy logic system multi-agents system multi-modal optimization parallel processing

Editors and affiliations

  • Grant Dick
    • 1
  • Will N. Browne
    • 2
  • Peter Whigham
    • 3
  • Mengjie Zhang
    • 4
  • Lam Thu Bui
    • 5
  • Hisao Ishibuchi
    • 6
  • Yaochu Jin
    • 7
  • Xiaodong Li
    • 8
  • Yuhui Shi
    • 9
  • Pramod Singh
    • 10
  • Kay Chen Tan
    • 11
  • Ke Tang
    • 12
  1. 1.Otago UniversityDunedinNew Zealand
  2. 2.Victoria University of WellingNew Zealand
  3. 3.University of OtagoDunedinNew Zealand
  4. 4.Unitec Institute of TechnologyVictoria University of WellingtonNew Zealand
  5. 5.Le Quy Don Technical UniversityHanoiVietnam
  6. 6.Department of Computer Science and Intelligent Systems, Graduate School of EngineeringOsaka Prefecture UniversitySakaiJapan
  7. 7.Department of ComputingUniversity of SurreyGuildfordUK
  8. 8.RMIT UniversityMelbourneAustralia
  9. 9.Department of Electrical & Electronic EngineeringXi’an Jiaotong-Liverpool UniversitySuzhouChina
  10. 10.Indian Institute of Information Technology and ManagementGwaliorIndia
  11. 11.Department of Electrical and Computer EngineeringNational University of SingaporeSingaporeSingapore
  12. 12.USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefeiChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-13563-2
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-13562-5
  • Online ISBN 978-3-319-13563-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349