Kevin B. Korb

Marcus Randall

Tim Hendtlass

Asweapproachthelimitsandcapabilitiesofmachines,we?ndthattheprinciple of diminishing returns is forcing scientists to turn their attention towardbiology to provide practical solutions to problems in our increasingly complex world.An emerging?eldofsciencethatstudies thesystemsrelatedtolife,its processesand evolution is known as Art?cial Life (ALife). It draws on the skills and talents of scientists from a variety of disciplines, including, but not limited to, biology, psychology,evolutionand computer science. These researchersareshowingthat, by using even simple simulations of the basic processes of nature, much about our complex natural world and our own humanity can be revealed. Gatherings in the expanding Alife community are becoming more common. One such series, the Australian Conference on Arti?cial Life (ACAL), began in Adelaide in 2001 and was known as the “Inaugral Workshop on Arti?cal Life.” From these small beginnings, it has become a biennial event that has previously been held in Canberra (2003), Sydney (2005)and the Gold Coast (2007). ACAL 2009 received over 60 quality submissions of which 27 were accepted for oral presentation at the conference. Each paper submission was assigned to three members of the Program Committee. The Program Committe, as well as the conference delegates, came from countries across Asia-Paci?c, North America and Europe. In addition to the regular papers, the conference was fortunate enough to be able to have two renowned invited speakers – Mark Bedau (Reed College, USA) and Andries Englebrecht (University of Pretoria, South Africa).

4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009, Proceedings

Artificial Life: Borrowing from Biology

Markus Wagner

Xiaodong Li

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.

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

Artificial Life and Computational Intelligence

Zbigniew Michalewicz

Jürgen Branke

Kalyanmoy Deb

Vic Ciesielski

Mengjie Zhang

Michael Kirley

K. C. Tan

This LNCS volume contains the papers presented at SEAL 2008, the 7th Int- nationalConference on Simulated Evolutionand Learning,held December 7–10, 2008, in Melbourne, Australia. SEAL is a prestigious international conference series in evolutionary computation and learning. This biennial event was ?rst held in Seoul, Korea, in 1996, and then in Canberra, Australia (1998), Nagoya, Japan (2000), Singapore (2002), Busan, Korea (2004), and Hefei, China (2006). SEAL 2008 received 140 paper submissions from more than 30 countries. After a rigorous peer-review process involving at least 3 reviews for each paper (i.e., over 420 reviews in total), the best 65 papers were selected to be presented at the conference and included in this volume, resulting in an acceptance rate of about 46%. The papers included in this volume cover a wide range of topics in simulated evolution and learning: from evolutionarylearning to evolutionary optimization, from hybrid systems to adaptive systems, from theoretical issues to real-world applications. They represent some of the latest and best research in simulated evolution and learning in the world.

7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings

Simulated Evolution and Learning

This volume constitutes the proceedings of the 7th International Conference on Simulated Evolution and Learning, SEAL 2008, held in Melbourne, Australia, during December 7-10, 2008. The 65 papers presented were carefully reviewed and selected from 140 submissions. The topics covered are evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; theoretical issues in evolutionary computation; and real-world applications of evolutionary computation techniques.

Graham Cull

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