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Table 2:
Means and standard deviations of runtimes in milliseconds of all algorithms on three objectives.
Random population typeOne front population type
Algorithm20080032002008003200
ENS-NDT 0.27 (0.05) 1.47 (0.12) 8.33 (0.79) 0.24 (0.03) 1.27 (0.21) 6.57 (0.69) 
DCNS-F 0.52 (0.10) 3.10 (0.22) 20.19 (0.90) 0.43 (0.20) 2.22 (0.25) 12.48 (0.86) 
ENS-BS 0.07 (0.01) 0.56 (0.03) 5.74 (0.26) 0.15 (0.002) 2.57 (0.07) 53.15 (0.45) 
ENS-SS 0.06 (0.01) 0.41 (0.02) 3.57 (0.13) 0.12 (0.002) 2.16 (0.07) 46.19 (0.43) 
FNS 0.88 (0.04) 14.40 (0.47) 245.10 (7.51) 0.68 (0.03) 11.90 (0.44) 185.07 (1.76) 
Random population typeOne front population type
Algorithm20080032002008003200
ENS-NDT 0.27 (0.05) 1.47 (0.12) 8.33 (0.79) 0.24 (0.03) 1.27 (0.21) 6.57 (0.69) 
DCNS-F 0.52 (0.10) 3.10 (0.22) 20.19 (0.90) 0.43 (0.20) 2.22 (0.25) 12.48 (0.86) 
ENS-BS 0.07 (0.01) 0.56 (0.03) 5.74 (0.26) 0.15 (0.002) 2.57 (0.07) 53.15 (0.45) 
ENS-SS 0.06 (0.01) 0.41 (0.02) 3.57 (0.13) 0.12 (0.002) 2.16 (0.07) 46.19 (0.43) 
FNS 0.88 (0.04) 14.40 (0.47) 245.10 (7.51) 0.68 (0.03) 11.90 (0.44) 185.07 (1.76) 
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