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Table 3:
Means and standard deviations of runtimes in milliseconds of all algorithms on eight objectives.
Random population typeOne front population type
Algorithm20080032002008003200
ENS-NDT 0.32 (0.04) 2.12 (0.07) 15.31 (0.93) 0.27 (0.02) 1.54 (0.15) 9.56 (0.47) 
DCNS-F 1.71 (0.10) 15.86 (0.84) 134.67 (1.85) 1.68 (0.10) 15.41 (1.04) 131.39 (1.79) 
ENS-BS 0.20 (0.01) 2.79 (0.10) 45.39 (1.57) 0.20 (0.02) 3.47 (0.07) 67.22 (0.94) 
ENS-SS 0.16 (0.01) 2.02 (0.11) 28.47 (0.92) 0.18 (0.01) 3.01 (0.08) 59.74 (0.66) 
FNS 0.92 (0.02) 14.63 (0.17) 230.02 (1.62) 0.82 (0.02) 13.12 (0.23) 208.05 (1.00) 
Random population typeOne front population type
Algorithm20080032002008003200
ENS-NDT 0.32 (0.04) 2.12 (0.07) 15.31 (0.93) 0.27 (0.02) 1.54 (0.15) 9.56 (0.47) 
DCNS-F 1.71 (0.10) 15.86 (0.84) 134.67 (1.85) 1.68 (0.10) 15.41 (1.04) 131.39 (1.79) 
ENS-BS 0.20 (0.01) 2.79 (0.10) 45.39 (1.57) 0.20 (0.02) 3.47 (0.07) 67.22 (0.94) 
ENS-SS 0.16 (0.01) 2.02 (0.11) 28.47 (0.92) 0.18 (0.01) 3.01 (0.08) 59.74 (0.66) 
FNS 0.92 (0.02) 14.63 (0.17) 230.02 (1.62) 0.82 (0.02) 13.12 (0.23) 208.05 (1.00) 
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