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Titlebook: Evolvable Systems: From Biology to Hardware; Third International Julian Miller,Adrian Thompson,Terence C. Fogarty Conference proceedings 2

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Evolving Cellular Automata for Self-Testing Hardware,n algorithm, the . algorithm. Experimental results are provided, which show that in most of the standard benchmark circuits the Cellular Automaton selected by the Selfish Gene algorithm is able to reach a Fault Coverage higher that what can be obtained with current engineering practice with comparab
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https://doi.org/10.1007/978-1-349-21299-6n algorithm, the . algorithm. Experimental results are provided, which show that in most of the standard benchmark circuits the Cellular Automaton selected by the Selfish Gene algorithm is able to reach a Fault Coverage higher that what can be obtained with current engineering practice with comparab
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Propositions and the Philosophy of Languagenition the proposed hardware immune system will learn to differentiate between acceptable and abnormal states and transitions within the ‘immunised’ system. Potential faults can then be flagged and suitable recovery methods invoked to return the system to a safe state.
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Kevin F. Clancey,Israel Gohbergex FPGA, and find a speedup factor of over 1000 compared to a C implementation of the same system. The general principles behind the system are very scalable, and as FPGAs become even larger in the future, similar systems will provide extremely large speedups over serial processing.
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Automatic Synthesis, Placement, and Routing of an Amplifier Circuit by Means of Genetic ProgrammingThe approach is illustrated using the problem of designing a 60 decibel amplifier. The fitness measure considers the gain, bias, and distortion of the candidate circuit as well as the area occupied by the circuit after the automatic placement and routing.
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Immunotronics : Hardware Fault Tolerance Inspired by the Immune System,nition the proposed hardware immune system will learn to differentiate between acceptable and abnormal states and transitions within the ‘immunised’ system. Potential faults can then be flagged and suitable recovery methods invoked to return the system to a safe state.
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Everything on the Chip: A Hardware-Based Self-Contained Spatially-Structured Genetic Algorithm for ex FPGA, and find a speedup factor of over 1000 compared to a C implementation of the same system. The general principles behind the system are very scalable, and as FPGAs become even larger in the future, similar systems will provide extremely large speedups over serial processing.
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