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Table 2 Initial setting of the parameters in NSGA-II

From: Multi-objective optimization of MOSFETs channel widths and supply voltage in the proposed dual edge-triggered static D flip-flop with minimum average power and delay by using fuzzy non-dominated sorting genetic algorithm-II

Number of decision variables

3

Maximum iteration

50

Population size

27

Crossover percentage

0.7

P single point

0.1

P double point

0.2

Mutation percentage

0.4

Mutation rate (mu)

0.02