Prof.Dr. A.E. (Gusz) Eiben



Head of the Computational Intelligence Group
Department of Computer Science
Faculty of Sciences
Vrije Universiteit Amsterdam
A: Room T3.41, de Boelelaan 1081a, 1081HV Amsterdam, NL
T: +31-20-5987758
F: +31-20-5987653
E: a.e.eiben at vu.nl

ABOUT ME

I am professor of Computational Intelligence on the VU University Amsterdam and Visiting Professor on the University of York, UK. For the research vision of the Computational Intelligence Group, please click here. My research lies in the field of Artificial Intelligence, Evolutionary Computing, Evolutionary Robotics, Artificial Life, Adaptive Collective Systems. The vision driving my research can be expressed through two statements.
My focus in the last couple of years is physically embodied artificial evolution, that is, evolution in robot populations. See my TEDx talk and a two-page paper on the vision, and the papers about the The Triangle of Life and EvoSphere for possible implementations. The 2015 Nature paper embedded these ideas in a historical context "From evolutionary computation to the evolution of things". The physically evolving robot systems I envision will radically change the way we engineer robots and also serve as an apparatus to investigate scientific questions about evolution and intelligence in a new substrate, different from carbon-based life as we know it.

On May 26, 2016 our team presented the first robot baby that received much attention in the Dutch media; a selection is shown below. The website evosphere.eu provides more info and some scientific background, including related work elsewhere.

SPOTLIGHT

Nature paper about evolutionary computation and the evolution of things:
A.E. Eiben and J. Smith, From evolutionary computation to the evolution of things, Nature, 521:476-482, doi:10.1038/nature14544, 2015

My TED talk "Tech Kangaroos: Evolution at Work"
TEDx Danubia 2011, watch it here

The first comprehensive text book on evolutionary computing:
A.E. Eiben and J.E. Smith, Introduction to Evolutionary Computing, Springer,
First edition, 2003, ISBN 3-540-40184-9, Corrected 2nd printing, 2007, ISBN: 978-3-540-40184-1, 2nd edition, 2015, ISBN: 978-3-662-44873-1

Position paper for the new journal on Robotics and AI
A. E. Eiben Grand challenges for evolutionary robotics, Frontiers in Robotics and AI , 1(4), doi:10.3389/frobt.2014.00004, 2014

Keynote on the 2014 PPSN Conference "In Vivo Veritas: Towards the Evolution of Things".
Watch the video lecture here or read the paper here.

State of the Art in parameter control (sequel to the award winning 1999 paper):
G. Karafotias, M. Hoogendoorn, and A.E. Eiben, Parameter Control in Evolutionary Algorithms:Trends and Challenges, IEEE Transactions on Evolutionary Computation, 19(2):167-187, 2015

The grand overview paper on parameter tuning:
A.E. Eiben and S.K. Smit, Parameter Tuning for Configuring and Analyzing Evolutionary Algorithms, Swarm and Evolutionary Computation, 1(1):19-31, 2011  

Pop-science book for the general public (free pdf or epub)
Adaptive Collective Systems - Herding Black Sheep
EU project on the Fundamentals of Collective Adaptive Systems (FoCAS)

Evolution in e-puck robots (see TV interview) Robot organisms for the Symbrion project
Evolving Thymio robots for the DREAM project Our 3D-printed evolvable robot prototypes

POPULAR MEDIA

Some of my work has been covered by popular media in various countries including Belgium, Danmark, Germany, Hungary, The Netherlands, Russia, United Kingdom, United States. Corresponding weblinks, audio, video, and pdf files are here. More about me (professionally and privately) in a journalistic style can be found in the article of the INTERMEDIAIR. (in Dutch)

PROJECTS

I was/am involved in various national and European research projects. A few examples: Further to academic research,  I have worked in business intelligence R&D projects, including data warehousing and data mining for feature selection, creditibility assessment, direct marketing, customer retention analysis, sensory data analysis, e-business, etc. Much of this work is unpublished.

TEACHING

Presently I teach the course Evolutionary Computing and Heuristics on the VU Amsterdam. I am also supervising Bachelor projects, Master Thesis projects and PhD students. Previously, I have been teaching university courses on formal logic, search techniques, evolutionary computing, artificial life, evolutionary economy, and business intelligence on the Eindhoven University of Technology, the Utrecht University, Leiden University, and the VU Amsterdam. I was also lecturer of a business intelligence course for the e-Commerce Masters programme of the EUR, Rotterdam and for different business classes on the Universiteit Nyenrode, The Netherlands Business School.

ORGANIZATION AND MANAGEMENT

SELECTED PUBLICATIONS

2016

2015

2014

2013

under construction

2012

under construction

2011

under construction

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

          This paper has won the 2001 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION OUTSTANDING PAPER AWARD.

1998

1997

1996

1995

1994

1989-1993