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
Conference proceedings

DOI: 10.1007/978-3-319-28270-1

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

Table of contents

  1. Front Matter
    Pages I-XIII
    PDF

  2. Mathematical Modeling and Theory

    1. Front Matter
      Pages 1-1
      PDF
    2. Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms
      Dale Patterson, Daniel Della-Bosca
      Pages 3-12
    3. Using Closed Sets to Model Cognitive Behavior
      John L. Pfaltz
      Pages 13-26

  3. Learning and Optimization

    1. Front Matter
      Pages 27-27
      PDF
    2. Solving Dynamic Optimisation Problems with Known Changeable Boundaries
      AbdelMonaem F. M. AbdAllah, Daryl L. Essam, Ruhul A. Sarker
      Pages 29-40
    3. Compaction for Code Fragment Based Learning Classifier Systems
      Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
      Pages 41-53
    4. The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking
      Bingshui Da, Abhishek Gupta, Yew Soon Ong, Liang Feng
      Pages 54-65
    5. A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set
      Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
      Pages 66-77
    6. Dynamic Configuration of Differential Evolution Control Parameters and Operators
      Saber Mohammed Elsayed, Ruhul Sarker
      Pages 78-88
    7. Exploring the Feasible Space Using Constraint Consensus in Solving Constrained Optimization Problems
      Noha M. Hamza, Daryl L. Essam, Ruhul A. Sarker
      Pages 89-100
    8. A Nested Differential Evolution Based Algorithm for Solving Multi-objective Bilevel Optimization Problems
      Md Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
      Pages 101-112
    9. Parkinson’s Disease Data Classification Using Evolvable Wavelet Neural Networks
      Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes
      Pages 113-124
    10. GO-PEAS: A Scalable Yet Accurate Grid-Based Outlier Detection Method Using Novel Pruning Searching Techniques
      Hongzhou Li, Ji Zhang, Yonglong Luo, Fulong Chen, Liang Chang
      Pages 125-133
    11. Multi-objective Genetic Programming for Figure-Ground Image Segmentation
      Yuyu Liang, Mengjie Zhang, Will N. Browne
      Pages 134-146
    12. A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation
      Saeed Mirghasemi, Ramesh Rayudu, Mengjie Zhang
      Pages 147-159
    13. Competitive Island Cooperative Neuro-evolution of Feedforward Networks for Time Series Prediction
      Ravneil Nand, Rohitash Chandra
      Pages 160-170
    14. Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction
      Ravneil Nand, Rohitash Chandra
      Pages 171-182
    15. A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization
      Yutao Qi, Minglei Yin, Xiaodong Li
      Pages 183-192
    16. Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey
      Hemant Kumar Singh, Khairul Alam, Tapabrata Ray
      Pages 193-205

About these proceedings

Introduction

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. 

Keywords

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

  • 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