Research Article
Comparing Evolutionary Strategies on a Biobjective Cultural Algorithm
Table 3
Results obtained by well-known MOEA algorithms NSGA-II and PAES for instances of class
.
| Instance | NSGA-II | PAES | (sec) | % | | (sec) | % | |
| | 1344 | 0.7057 | 13 | 372 | 0.7057 | 13 | | 1511 | 0.6136 | 11 | 394 | 0.6136 | 11 | | 1859 | 0.6993 | 9 | 326 | 0.6993 | 9 | | 3186 | 0.5729 | 5 | 305 | 0.5729 | 5 | | 1748 | 0.6351 | 8 | 378 | 0.6351 | 8 | | 1650 | 0.5982 | 9 | 384 | 0.5982 | 9 | | 1633 | 0.8071 | 18 | 499 | 0.7795 | 16 | | 1345 | 0.8012 | 43 | 622 | 0.7915 | 41 | | 1394 | 0.7538 | 43 | 603 | 0.7384 | 29 | | 1874 | 0.7508 | 20 | 525 | 0.7342 | 20 | | 1413 | 0.7783 | 40 | 595 | 0.7572 | 33 | | 1474 | 0.6676 | 36 | 511 | 0.5300 | 12 | | 2385 | 0.7913 | 43 | 1386 | 0.7391 | 25 | | 2522 | 0.7597 | 39 | 1231 | 0.6729 | 23 | | 2298 | 0.7665 | 34 | 1269 | 0.6900 | 26 | | 2575 | 0.6344 | 17 | 1233 | 0.6106 | 15 | | 2446 | 0.8072 | 40 | 1251 | 0.7590 | 23 | | 2259 | 0.7862 | 38 | 1218 | 0.6461 | 27 |
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