A FPGA Simulation Using Asexual Genetic Algorithms for Integrated Self-Repair

We present a simulation of circuits in a faulty field programmable gate array where reconfiguration circuitry is built-in. Diagnosis is implemented as triple redundant circuitry with majority voting and self-repair is achieved via sub-circuit chromosone mutation. Both control circuitry and our device function (full adder) circuitry is fault-managed. We evaluate our system with respect to diagnosis reliability, re configuration performance and bus density. An implementation of our model could increase the survivability of critical engineering applications