CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Contemporary Evolution Strategies
Proceedings of the Third European Conference on Advances in Artificial Life
Through the Labyrinth Evolution Finds a Way: A Silicon Ridge
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
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
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Explorations in design space: unconventional electronics designthrough artificial evolution
IEEE Transactions on Evolutionary Computation
Untidy Evolution: Evolving Messy Gates for Fault Tolerance
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Initial Studies of a New VLSI Field Programmable Transistor Array
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
Evolving hardware by dynamically reconfiguring xilinx FPGAs
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Open-ended evolution to discover analogue circuits for beyond conventional applications
Genetic Programming and Evolvable Machines
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Evolutionary algorithms can design electronic circuits that conventional design methods cannot, because they can craft an emergent behaviour without the need for a detailed model of how the behaviours of the components affect the overall behaviour. However, the absence of such a model makes the achievement of robustness to variations in temperature, fabrication, etc., challenging. An experiment is presented showing that a robust design can be evolved without having to resort to conventional restrictive design constraints, by testing in different conditions during evolution. Surprisingly, the result tentatively suggests that even within the domain of robust digital design, evolution can explore beyond the scope of conventional methods.