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 main area of expertise is Evolutionary Computing
. I am one of the early birds in Europe; my first Evolutionary Computing paper dates back to 1989 and I co-authored
the first comprehensive book
on the subject. I have been organizing committee member of practically all major international evolutionary computing conferences, editorial board member of related international journals, and coordinator/participant in several EU research projects.
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.
- Evolution can produce intelligence.
- Artificial evolution can produce artificial intelligence.
The first statement is known to be true; you and me are part of the evidence. The second one, then, is a plausible working hypothesis. Based on this, I work on achieving artificial intelligence through artificial evolution.
More specific research themes
: multi-parent reproduction methods, evolutionary art, steering evolutionary systems through their parameters,
, evolution in robot populations, embodied evolution. My focus in the last couple of years is physically embodied artificial evolution in real time and real space. This goes beyond evolutionary computing in digital spaces - the long term goal envisions robotic systems that can self-reproduce.
See my TEDx talk
and a two-page paper
on the vision,
and the papers about the The Triangle of Life
for possible implementations. Such systems can change the way we engineer robots and also serve as an apparatus to investigate scientific questions about evolution in a new substrate, different from carbon-based life as we know it.
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.
Nature paper about evolutionary computation and the evolution of things:
A.E. Eiben and J. Smith, From evolutionary computation to the evolution of things
, 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
First edition, 2003, ISBN 3-540-40184-9, Corrected 2nd printing, 2007, ISBN: 978-3-540-40184-1
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)
Two papers on evolving robots:
Two papers on calibrating evolutionary processes:
- 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
- Vision paper about the (embodied) future of evolutionary computing:
In Vivo Veritas: Towards the Evolution of Things,
B. Filipic, T. Bartz-Beielstein, J. Branke, and J. Smith (Eds.), Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Springer, 2014, pp. 24-39.
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, 2014, to appear.
- 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
I was/am involved in various national and European research projects. A few examples:
- DREAM (Distributed Evolutionary Algorithm Machines, EU FP5) investigated evolutionary algorithms implemented on a group of different physical devices.
- NEW TIES (NEw World models Though Individual, Evolutionary, and Social learning, EU FP6) investigated artificial societies subject to 3-ties adaptation by evolution, individual learning, and social learning.
- SYMBRION (Symbiotic robotic organisms, EU FP6) investigated modular robotic organisms that emerge by self-aggregating independent robotic units.
- EVOBODY (New Principles of Unbound Embodied Evolution, EU FP7) explored the potential of physically embodied evolutionary systems.
- FOCAS (Fundamentals of Collective Adaptive Systems, EU FP7) is concerned with all forms of adaptation in all kinds of socio-technical collectives.
- DREAM (Deferred Restructuring of Experience in Autonomous Machines, EU H2020) is investigating robots that post-process daily experiences overnight to become "wiser".
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