Table 7 Comparison between PSO, GWO, POA, AO, JSO, JSESOS, CJSESOS at DBLP dataset in skill = 3, 5, 7,10,15.
From: Bi-objective jellyfish algorithm for team formation problem
Skills | GA | PSO | GWO | HBO | AO | POA | JSO | CJSO | CJSESOS |
|---|---|---|---|---|---|---|---|---|---|
3 | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.88 9×\(\:{10}^{-16}\) | 2.8 8.8×\(\:{10}^{-16}\) |
5 | 4.71 6.5×\(\:{10}^{-2}\) | 4.648 3.9×\(\:{10}^{-2}\) | 4.876 9×\(\:{10}^{-16}\) | 4.615 1×\(\:{10}^{-1}\) | 4.615 2.3×\(\:{10}^{-1}\) | 4.715 3.1×\(\:{10}^{-1}\) | 4.778 8.9×\(\:{10}^{-2}\) | 4.717 8.2×\(\:{10}^{-2}\) | 4.499 5.9×\(\:{10}^{-2}\) |
7 | 6.516 5.6×\(\:{10}^{-2}\) | 6.458 4.3×\(\:{10}^{-2}\) | 6.816 3.6×\(\:{10}^{-15}\) | 6.498 6.4×\(\:{10}^{-2}\) | 6.516 4.6×\(\:{10}^{-2}\) | 6.66 3.5×\(\:{10}^{-2}\) | 6.717 7.6×\(\:{10}^{-2}\) | 6.6459 6.5×\(\:{10}^{-2}\) | 6.433 1.1×\(\:{10}^{-1}\) |
10 | 9.877 7×\(\:{10}^{-16}\) | 9.877 7×\(\:{10}^{-16}\) | 9.877 7×\(\:{10}^{-16}\) | 9.877 0 | 9.776 3×\(\:{10}^{-15}\) | 9.877 7×\(\:{10}^{-16}\) | 9.877 7×\(\:{10}^{-16}\) | 9.877 1.3×\(\:{10}^{-16}\) | 9.5 1. 2×\(\:{10}^{-1}\) |
15 | 13.45 7×\(\:{10}^{-15}\) | 13.45 7×\(\:{10}^{-15}\) | 13.45 7×\(\:{10}^{-15}\) | 13.45 7×\(\:{10}^{-15}\) | 13.1 3×\(\:{10}^{-16}\) | 13.45 7×\(\:{10}^{-15}\) | 13.45 7×\(\:{10}^{-15}\) | 13.45 7×\(\:{10}^{-15}\) | 12.81 0 |
