Efficient CMOL nanoscale hybrid circuit cell assignment using simulated evolution heuristic
Proceedings of the great lakes symposium on VLSI
Cell assignment in hybrid CMOS/nanodevices architecture using Tabu Search
Applied Intelligence
| Hi-index | 0.00 |
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 benchmarks and comparison with pure genetic approach illustrate the effectiveness of the modeling and solution methodology. In terms of CPU runtime, timing delay and circuit scale, the proposed method has better performance than previous methods.