Research Article

Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm

Table 4

Experimental results of HV on several DTLZs (mean and standard deviation).

ProblemMNSGAIIIBEAMBNSGAII

DTLZ125.8121e-1 (3.60e-4) -3.9969e-1 (1.87e-2) -5.8162e-1 (3.86e-4)
38.2082e-1 (5.02e-3) -4.7837e-1 (5.50e-2) -8.3698e-1 (1.86e-3)
56.9302e-1 (3.39e-1) -7.5172e-1 (4.51e-2) -9.7599e-1 (1.40e-3)

DTLZ223.4654e-1 (1.97e-4) -3.4613e-1 (2.17e-4) -3.4731e-1 (1.09e-4)
35.2551e-1 (3.99e-3) -5.5477e-1 (1.48e-3) -5.5689e-1 (9.61e-4)
56.7753e-1 (7.73e-3) -8.0904e-1 (1.36e-3) +8.0024e-1 (2.49e-3)

DTLZ323.4146e-1 (2.73e-3) = 1.6879e-1 (3.86e-3) -3.4251e-1 (2.27e-3)
34.5747e-1 (1.56e-1) -2.3645e-1 (9.09e-3) -5.4725e-1 (3.20e-3)
54.0235e-1 (3.46e-1) -3.8077e-1 (6.39e-3) -8.0179e-1 (4.10e-3)

DTLZ422.9554e-1 (1.08e-1) -1.9305e-1 (1.32e-1) -3.2164e-1 (8.11e-2)
34.8619e-1 (1.39e-1) = 5.5574e-1 (9.75e-4) = 4.7330e-1 (1.09e-1)
56.8256e-1 (8.53e-3) -8.0150e-1 (2.60e-2) = 8.0780e-1 (1.73e-3)