Research Article
Comparing Evolutionary Strategies on a Biobjective Cultural Algorithm
Table 4
Results obtained by well-known MOEA algorithms NSGA-II and PAES for instances of class
.
| Instance | NSGA-II | PAES | (sec) | % | | (sec) | % | |
| | 1439 | 0.7795 | 7 | 397 | 0.7795 | 7 | | 1430 | 0.5856 | 5 | 405 | 0.5856 | 5 | | 1288 | 0.741 | 13 | 433 | 0.7410 | 13 | | 1747 | 0.7261 | 14 | 440 | 0.7261 | 14 | | 1766 | 0.8117 | 6 | 363 | 0.8117 | 6 | | 1261 | 0.6517 | 17 | 394 | 0.6517 | 17 | | 1566 | 0.7609 | 30 | 562 | 0.7134 | 27 | | 1525 | 0.7285 | 49 | 563 | 0.6899 | 34 | | 1345 | 0.6330 | 51 | 578 | 0.5991 | 53 | | 2562 | 0.5333 | 23 | 502 | 0.5211 | 21 | | 1433 | 0.7631 | 31 | 564 | 0.7360 | 26 | | 1460 | 0.8088 | 47 | 585 | 0.7602 | 32 | | 2698 | 0.8447 | 23 | 1280 | 0.6925 | 10 | | 2289 | 0.7515 | 41 | 1241 | 0.4970 | 13 | | 2284 | 0.7988 | 52 | 1279 | 0.6836 | 26 | | 2603 | 0.7500 | 10 | 1192 | 0.7253 | 14 | | 2301 | 0.6387 | 35 | 1212 | 0.5021 | 16 | | 3178 | 0.8029 | 43 | 1260 | 0.7152 | 32 |
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