Hardware Evolution: Automatic Design of Electronic Circuits in Reconfigurable Hardware by Artificial Evolution
Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
Embryonics: A Bio-Inspired Cellular Architecture with Fault-Tolerant Properties
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Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
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On the Automatic Design of Robust Electronics Through Artificial Evolution
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Evolution of Robustness in an Electronics Design
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
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EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
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IEEE Transactions on Evolutionary Computation
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Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
GECCO 2011 tutorial: cartesian genetic programming
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ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
GECCO 2012 tutorial: cartesian genetic programming
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GECCO 2013 tutorial: cartesian genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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The exploitation of the physical characteristics has already been demonstrated in the intrinsic evolution of electronic circuits. This paper is an initial attempt at creating a world in which "physics" can be exploited in simulation. As a starting point we investigate a model of gate-like components with added noise. We refer to this as a kind of messiness. The principal idea behind these messy gates is that artificial evolution makes a virtue of the untidiness. We are ultimately trying to study the question: What kind of components should we use in artificial evolution? Several experiments are described that show that the messy circuits have a natural robustness to noise, as well as an implicit faulttolerance. In addition, it was relatively easy for evolution to generate novel circuits that were surprisingly efficient.