Adrian Thompson

Contact:

Department of Informatics,
University of Sussex,
Brighton,
BN1 9QH
UK

Tel: +44 (0)1273 678484
FAX: +44 (0)1273 877873
     : adrianth@
email: sussex.ac.uk
I'm faculty of the Department of Informatics and recently an EPSRC Advanced Research Fellow. I'm associated with the Evolutionary & Adaptive Systems group (here), the Cente for Computational Neuroscience & Robotics (here), and the Centre for The Study of Evolution (here).

I'm mainly interested in the use of `soft' computing techniques, such as neural networks and genetic algorithms, in engineering design. The main focus of this has been evolutionary algorithms to design microelectronic circuits and potentially nano-electronics. I have investigated the direct evolutionary design of deliberately unusual circuits with various interesting properties, and more recently the use of evolutionary methods to optimise activities within the flow of industrial Electronics Design Automation (EDA) tools. My other interests include: the physics of computation, reconfigurable computing, unusual computing architectures in general, VLSI CAD, evolutionary theory, neuroscience, nonlinear dynamics and complex systems theory, intelligence in animals and machines, and AI techniques in music.

Evolutionary Electronics

is the use of evolutionary algorithms in the design of electronic systems. Evolutionary algorithms capture the bare essentials of Darwinian evolution - selection acting repeatedly upon heritable variation - but are in other ways very different from evolution in nature.

There are many potential applications for evolutionary algorithms in electronics, such as optimisation of parameter values or component placement & routing, test pattern generation, and even in the design process itself.

The focus of my own work has been to ask "What can evolutionary design do that conventional methods can't?" rather than trying to compete with conventional design or automate it. The papers below share this theme. Evolved circuits can have a richer spatial structure and internal dynamics than normally envisaged, and can extract unusual leverage from the physics of their medium of implementation --- be that microelectronics in simulation, physical silicon reconfigurable chips (FPGAs), or even proposed future technologies for nano-scale systems. Similarly, evolution can tune highly complex optimisation activities within Electronics Design Automation (EDA) tools with similar subtelty.

LINKS PAGE: Click here for more information on evolutionary electronics, both at Sussex and elsewhere.

Popular Articles

These were written by other people, and I don't necessarily agree with them!
New Scientist cover story 15th November 1997.
Discover Magazine cover story. Cut down version here.

Publications

Keywords: Evolutionary electronics, evolutionary robotics, single-electron circuit design, fault tolerance, physics of computation, artificial evolution, evolutionary computation, genetic algorithms ( GA ), artificial life ( ALife ), design automation.

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Academic references?! But what I really want to see is a portrayal of Mr Tickle interloping into the mind of M. C. Escher, courtesy of the esteemed Dr P. A. Cairns!
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