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This paper proposes a novel quantum genetic algorithm (NQGA) to search for the best polarity of fixed-polarity RM (FPRM) circuits with the objective of minimizing the area. In order to improve stability of the traditional quantum generic algorithm and its ability to search the global optima, even evolution is employed to update the qubit chromosomes, and reproduction as well as crossover operators...
This brief paper deals with using the particle swarm optimization metaheuristic for optimally sizing switched current (SI) memory cells, namely the class AB grounded gate SI memory cell. Pareto front is generated while optimizing two main conflicting performances: maximizing both the signal to noise ratio and the sampling frequency. SPICE simulation results are presented to validate obtained sizing.
The reliability against transient faults poses a significant challenge due to technology scaling trends. Several circuit optimization techniques have been proposed in the literature for preventing soft errors in logic circuits. However, most approaches do not incorporate the effects of other design metrics like delay and power while optimizing the circuit for soft error protection. In this work, we...
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