Australasian Conference on Artificial Life and Computational Intelligence

Artificial Life and Computational Intelligence

Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings

  • Tapabrata Ray
  • Ruhul Sarker
  • Xiaodong Li

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9592)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9592)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Mathematical Modeling and Theory

  3. Learning and Optimization

    1. Front Matter
      Pages 27-27
    2. AbdelMonaem F. M. AbdAllah, Daryl L. Essam, Ruhul A. Sarker
      Pages 29-40
    3. Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
      Pages 41-53
    4. Bingshui Da, Abhishek Gupta, Yew Soon Ong, Liang Feng
      Pages 54-65
    5. Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
      Pages 66-77
    6. Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes
      Pages 113-124
    7. Hongzhou Li, Ji Zhang, Yonglong Luo, Fulong Chen, Liang Chang
      Pages 125-133
    8. Yuyu Liang, Mengjie Zhang, Will N. Browne
      Pages 134-146
    9. Hemant Kumar Singh, Khairul Alam, Tapabrata Ray
      Pages 193-205

About these proceedings


This book constitutes the proceedings of the Second Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2016, held in Canberra, ACT, Australia, in February 2016.

The 30 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They are organized in topical sections named: mathematical modeling and theory; learning and optimization; planning and scheduling; feature selection; and applications and games. 


Artificial neural network Cognitive science Dynamic optimization Genetic algorithms Particle swarm optimization Bioinformatics Computer games Constrained optimization Content analysis and feature selection Decision analysis Evolutionary optimization Image segmentation Information visualization Multi-objective optimization Neural network Planning and scheduling Similarity metrics Solution complexity Supervised learning by classification Time series prediction

Editors and affiliations

  • Tapabrata Ray
    • 1
  • Ruhul Sarker
    • 2
  • Xiaodong Li
    • 3
  1. 1.CanberraAustralia
  2. 2.University of New South WalesCanberraAustralia
  3. 3.RMIT UniversityMelbourneAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-28269-5
  • Online ISBN 978-3-319-28270-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book