Research Article

Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem

Table 17

Average RPD for algorithms MOPGA and MOPSA in solving large-scale problems.

Problemm.n.bMOPGAMOPSAProblemm.n.bMOPGAMOPSA

75, 10, 200.030.69175, 20, 400.050.39
85, 10, 200.030.62185, 20, 400.010.47
95, 10, 200.071.10195, 20, 400.050.48
105, 10, 200.020.76205, 20, 400.040.65
115, 10, 200.040.80215, 20, 400.040.54
1210, 10, 200.080.732210, 20, 400.010.20
1310, 10, 200.110.802310, 20, 400.030.24
1410, 10, 200.070.732410, 20, 400.040.28
1510, 10, 200.060.802510, 20, 400.070.45
1610, 10, 200.080.612610, 20, 400.060.41
Average RPD of MOPGA: 0.05
Average RPD of MOPSA: 0.59