© 2017

Artificial Life and Computational Intelligence

Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings

  • Markus Wagner
  • Xiaodong Li
  • Tim Hendtlass
Conference proceedings ACALCI 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10142)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10142)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Artificial Life and Computational Intelligence

    1. Front Matter
      Pages 1-1
    2. Garrison Greenwood, Hussein A. Abbass, Eleni Petraki
      Pages 12-24
    3. Richard Tymerski, Garrison Greenwood, Devin Sills
      Pages 25-38
    4. Darwin Vickers, Jacob Soderlund, Alan Blair
      Pages 39-49
    5. Benjamin Cowley, John Thornton
      Pages 61-73
    6. Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray
      Pages 74-85
    7. Camilo Cruz, Michael Kirley, Justyna Karakiewicz
      Pages 99-110
    8. Francesco Fico, Francesco Urbino, Robert Carrese, Pier Marzocca, Xiaodong Li
      Pages 124-133
    9. Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
      Pages 134-143
    10. Dileep Kumar Appana, Md. Rashedul Islam, Jong-Myon Kim
      Pages 193-203

About these proceedings


This book constitutes the refereed proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, held in Geelong, VIC, Australia, in January/February 2017.
The 32 papers presented in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections named: artificial life and computational intelligence and optimization algorithms and applications. 


cloud computing evolutionary computation genetic algorithms multi-agent systems swarm intelligence artificial life artificial neural networks collaborative behavior computational intelligence dynamic optimization problems efficient global optimization evolutionary algorithms featire seöectopm hybrid algorithm machine learning memetic algorithm metaheuristic modelling and simulation multi-objective optimization support vector machine

Editors and affiliations

  • Markus Wagner
    • 1
  • Xiaodong Li
    • 2
  • Tim Hendtlass
    • 3
  1. 1.The University of AdelaideAdelaideAustralia
  2. 2.RMIT UniversityMelbourneAustralia
  3. 3.Swinburne UniversityMelbourneAustralia

Bibliographic information

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