Increased downscaling of CMOS circuits with respect to feature size and threshold voltage has a result of
dramatically increasing in leakage current. So, leakage power reduction is an important design issue for
active and standby modes as long as the technology scaling increased. In this paper, a simultaneous active
and standby energy optimization methodology is proposed for 22 nm sub-threshold CMOS circuits. In the
first phase, we investigate the dual threshold voltage design for active energy per cycle minimization. A
slack based genetic algorithm is proposed to find the optimal reverse body bias assignment to set of noncritical
paths gates to ensure low active energy per cycle with the maximum allowable frequency at the
optimal supply voltage. The second phase, determine the optimal reverse body bias that can be applied to
all gates for standby power optimization at the optimal supply voltage determined from the first phase.
Therefore, there exist two sets of gates and two