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This paper presents an integrated optimization approach for nanohybrid circuit (CMOS/nanowire/molecular hybrid) cell mapping. The method integrates Lagrangian relaxation and memetic search synergistically. Based on encoding manipulation with appropriate population and structural connectivity constraints, 2-D block crossover, mutation, and self-learning operators are developed in a concerted way to...
This paper considers a cell mapping task of CMOL, a hybrid CMOS/molecular circuit architecture. To tackle the combinatorial hurdle arising from the structural connectivity domain constraint, a memetic computing algorithm is developed. The framework takes advantage of simulated annealing based local search strategy and appropriate population based encoding manipulation. Numerical results from ISCAS...
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