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. 2023 Jan 22;87:101516. doi: 10.1016/j.seps.2023.101516

Table 3.

Size of test instances.

No. Sizea # int. var. # cont. var. # constr. No. Sizea # int. var. # cont. var. # constr.
P1 2-10-40 67 15374 6427 P15 4-30-100 167 220828 79487
P2 2-10-60 67 23054 9607 P16 4-64-40 337 186268 64751
P3 2-10-100 67 38414 15967 P17 4-64-60 337 279388 96931
P4 2-30-40 167 44174 16147 P18 4-64-100 337 465628 161291
P5 2-30-60 167 66254 24127 P19 7-10-40 67 53809 21827
P6 2-30-100 167 110414 40087 P20 7-10-60 67 80689 32707
P7 2-64-40 337 93134 32671 P21 7-10-100 67 134449 54467
P8 2-64-60 337 139694 48811 P22 7-30-40 167 154609 55547
P9 2-64-100 337 232814 81091 P23 7-30-60 167 231889 83227
P10 4-10-40 67 30748 12587 P24 7-30-100 167 386449 138587
P11 4-10-60 67 46108 18847 P25 7-64-40 337 325969 112871
P12 4-10-100 67 76828 31367 P26 7-64-60 337 488929 169111
P13 4-30-40 167 88348 31907 P27 7-64-100 337 814849 281591
P14 4-30-60 167 132508 47767

Notes: # int. var. Represents the number of integer variables; # cont. var. means the number of continuous variables; # constr. indicates the number of constraints.

a

The first, second, and last numbers embody the number of commodities, demand points and scenarios.