Table 2 Average Bin Usage (ABU) obtained by the heuristics and a few selected HHs on the test set (BTS-I).
From: A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing
Dataset | Stat | FF | BF | WF | AWF | HHGA\(_{1}\) | HHGA\(_{2}\) | HH\(\mu\)GA\(_{1}\) | HH\(\mu\)GA\(_{2}\) | HHSSGA\(_{1}\) | HHSSGA\(_{2}\) | HHSS\(\mu\)GA\(_{1}\) | HHSS\(\mu\)GA\(_{2}\) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FF-type | Mean | 0.9874 | 0.8775 | 0.8168 | 0.8759 | 0.9683 | 0.9566 | 0.9723 | 0.8802 | 0.9453 | 0.9516 | 0.9529 | 0.9497 |
Stddev | 0.0116 | 0.0287 | 0.0315 | 0.0293 | 0.0374 | 0.0473 | 0.0337 | 0.0293 | 0.0498 | 0.0482 | 0.0464 | 0.0489 | |
Error | 0.0000 | 27.4620 | 42.6526 | 27.8776 | 4.7669 | 7.6888 | 3.7651 | 26.7870 | 10.5237 | 8.9574 | 8.6136 | 9.4253 | |
Worse | 0 | 250 | 250 | 250 | 61 | 88 | 49 | 250 | 122 | 104 | 109 | 107 | |
Equal | 250 | 0 | 0 | 0 | 171 | 152 | 188 | 0 | 118 | 138 | 127 | 131 | |
Better | 0 | 0 | 0 | 0 | 18 | 10 | 13 | 0 | 10 | 8 | 14 | 12 | |
BF-type | Mean | 0.8234 | 0.9877 | 0.7728 | 0.8178 | 0.9147 | 0.9178 | 0.9100 | 0.9524 | 0.9403 | 0.9307 | 0.9283 | 0.9438 |
Stddev | 0.0244 | 0.0124 | 0.0331 | 0.0244 | 0.0531 | 0.0493 | 0.0499 | 0.0480 | 0.0446 | 0.0466 | 0.0489 | 0.0509 | |
Error | 41.0890 | 0.0000 | 53.7352 | 42.4705 | 18.2589 | 17.4819 | 19.4356 | 8.8204 | 11.8459 | 14.2620 | 14.8584 | 10.9902 | |
Worse | 250 | 0 | 250 | 250 | 191 | 197 | 207 | 106 | 151 | 171 | 175 | 128 | |
Equal | 0 | 250 | 0 | 0 | 56 | 53 | 41 | 144 | 99 | 77 | 74 | 119 | |
Better | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 0 | 2 | 1 | 3 | |
WF-type | Mean | 0.8574 | 0.8576 | 0.9808 | 0.8561 | 0.8576 | 0.8576 | 0.8576 | 0.8579 | 0.8576 | 0.8576 | 0.8813 | 0.8576 |
Stddev | 0.0256 | 0.0255 | 0.0169 | 0.0255 | 0.0255 | 0.0255 | 0.0255 | 0.0255 | 0.0255 | 0.0255 | 0.0333 | 0.0255 | |
Error | 30.8521 | 30.8121 | 0.0000 | 31.1769 | 30.8198 | 30.8129 | 30.8199 | 30.7217 | 30.8117 | 30.8121 | 24.8791 | 30.8153 | |
Worse | 250 | 250 | 0 | 250 | 250 | 250 | 250 | 250 | 250 | 250 | 249 | 250 | |
Equal | 0 | 0 | 250 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
AWF-type | Mean | 0.8873 | 0.8876 | 0.8277 | 0.9823 | 0.8876 | 0.8876 | 0.8875 | 0.9397 | 0.8876 | 0.8876 | 0.8844 | 0.8876 |
Stddev | 0.0289 | 0.0288 | 0.0321 | 0.0141 | 0.0288 | 0.0289 | 0.0288 | 0.0506 | 0.0288 | 0.0288 | 0.0294 | 0.0288 | |
Error | 23.7667 | 23.6763 | 38.6547 | 0.0000 | 23.6913 | 23.6756 | 23.6933 | 10.6681 | 23.6882 | 23.6881 | 24.4796 | 23.6873 | |
Worse | 250 | 250 | 250 | 0 | 250 | 250 | 250 | 121 | 250 | 250 | 250 | 250 | |
Equal | 0 | 0 | 0 | 250 | 0 | 0 | 0 | 109 | 0 | 0 | 0 | 0 | |
Better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 0 | |
Overall | Mean | 0.8889 | 0.9026 | 0.8495 | 0.8830 | 0.9070 | 0.9049 | 0.9069 | 0.9076 | 0.9077 | 0.9068 | 0.9117 | 0.9097 |
Stddev | 0.0656 | 0.0561 | 0.0838 | 0.0656 | 0.0555 | 0.0537 | 0.0552 | 0.0561 | 0.0532 | 0.0532 | 0.0504 | 0.0557 | |
Error | 95.7078 | 81.9504 | 135.0425 | 101.5250 | 77.5369 | 79.6592 | 77.7139 | 76.9972 | 76.8695 | 77.7196 | 72.8307 | 74.9181 | |
Worse | 750 | 750 | 750 | 750 | 752 | 785 | 756 | 727 | 773 | 775 | 783 | 735 | |
Equal | 250 | 250 | 250 | 250 | 227 | 205 | 229 | 253 | 217 | 215 | 201 | 250 | |
Better | 0 | 0 | 0 | 0 | 21 | 10 | 15 | 20 | 10 | 10 | 16 | 15 |