Research Article
Green Communication for Sixth-Generation Intent-Based Networks: An Architecture Based on Hybrid Computational Intelligence Algorithm
Table 3
Descriptive statistics of ten energy-saving datasets for 30 independent runs.
| Dataset | Algorithms | Minimum | Maximum | Mean | Std. deviation | value |
| Dataset 1 | MPGND | -5.0353 | -4.6055 | -4.971799 | 0.0842245 | 0.3725 | MPA | -5.0390 | 0.8748 | -4.736040 | 1.0733152 | GNDO | -4.6940 | NA | NA | NA | STSA | 1.3867 | 3.8049 | 2.992732 | 1.0432979 | AGWO | 4.3612 | 8.0487 | 6.250986 | 0.5431646 | AOA | 11.4291 | 13.0103 | 12.871480 | 0.4258639 | SPBO | 5.7984 | NA | NA | NA | Dataset 2 | MPGND | -7.6795 | -7.4268 | -7.619333 | 0.0533462 | 1.7219-37 | MPA | -7.6737 | -7.4363 | -7.609363 | 0.0558062 | GNDO | -7.4016 | -5.7387 | -6.630076 | 0.4245837 | STSA | 1.2987 | 3.4476 | 2.483630 | 0.6018840 | AGWO | -1.3547 | 8.6427 | 5.120709 | 2.5246429 | AOA | 4.9608 | 13.0103 | 11.540879 | 2.8188932 | SPBO | 4.3756 | NA | NA | NA | Dataset 3 | MPGND | -5.0329 | -4.7821 | -4.963054 | 0.0604851 | 2.6711-56 | MPA | -5.0320 | -3.0296 | -4.847741 | 0.4636465 | GNDO | -4.5856 | 2.4853 | -2.941780 | 1.5729501 | STSA | 1.5981 | 4.1361 | 2.982084 | 0.5763874 | AGWO | 2.5864 | 8.6388 | 5.628007 | 1.3833722 | AOA | 11.0271 | 13.0103 | 12.856682 | 0.4839176 | SPBO | 5.6385 | NA | NA | NA | Dataset 4 | MPGND | -6.2499 | -6.0708 | -6.204747 | 0.0415812 | 2.14592-22 | MPA | -6.2479 | -5.3300 | -6.170170 | 0.1623287 | GNDO | -6.0514 | -4.8293 | -5.483168 | 0.2581445 | STSA | 0.9636 | 3.8398 | 2.291970 | 0.6265332 | AGWO | -1.1276 | 8.0590 | 5.280250 | 2.2070198 | AOA | 4.8001 | 13.0103 | 11.756545 | 2.5926190 | SPBO | 1.8805 | NA | NA | NA | Dataset 5 | MPGND | -7.6628 | -6.0328 | -7.556524 | 0.2927583 | 2.6711-56 | MPA | -7.6702 | -7.4857 | -7.612344 | 0.0424757 | GNDO | -7.5239 | -5.6587 | -6.490170 | 0.5304868 | STSA | 1.2061 | 3.6150 | 2.448804 | 0.6424697 | AGWO | -1.4115 | 7.3641 | 4.897111 | 2.3316796 | AOA | 4.0457 | 13.0103 | 11.979176 | 2.7014299 | SPBO | 4.8835 | NA | NA | NA | Dataset 6 | MPGND | -6.2420 | -6.0254 | -6.194883 | 0.0454856 | 6.4893-20 | MPA | -6.2520 | -6.0199 | -6.204955 | 0.0499140 | GNDO | -5.9981 | NA | NA | NA | STSA | 1.1007 | 3.1314 | 2.295611 | 0.4713219 | AGWO | -0.0141 | 7.3384 | 4.697782 | 1.8008367 | AOA | 3.5555 | 13.0103 | 12.076295 | 2.4419530 | SPBO | 4.2507 | NA | NA | NA | Dataset 7 | MPGND | -5.0351 | -4.8050 | -4.960284 | 0.0533460 | 4.437-60 | MPA | -5.0304 | -0.0620 | -4.783209 | 0.8989318 | GNDO | -3.1342 | NA | NA | NA | STSA | 2.0232 | 3.9566 | 3.178077 | 0.4732431 | AGWO | 2.9210 | 8.1577 | 6.284094 | 1.2189823 | AOA | 11.3516 | 13.0103 | 12.862974 | 0.4515585 | SPBO | 8.0443 | NA | NA | NA | Dataset 8 | MPGND | -7.2786 | -6.6134 | -7.193837 | 0.1233936 | 6.1764-34 | MPA | -7.2788 | -5.2792 | -7.123229 | 0.3626609 | GNDO | -6.7108 | -4.0510 | -5.853400 | 0.6097682 | STSA | 1.2895 | 3.1327 | 2.495311 | 0.4558036 | AGWO | -0.7610 | 8.5611 | 4.841022 | 2.6100941 | AOA | 4.6395 | 13.0103 | 12.350321 | 1.8322584 | SPBO | 4.8479 | NA | NA | NA | Dataset 9 | MPGND | -5.0368 | -4.4658 | -4.917226 | 0.1478834 | 6.44134-53 | MPA | -5.0352 | -2.5880 | -4.848956 | 0.4633953 | GNDO | -3.8810 | NA | NA | NA | STSA | 2.2282 | 4.3081 | 3.394901 | 0.4834886 | AGWO | 4.5580 | 8.1604 | 6.515027 | 0.8505038 | AOA | 11.8462 | 13.0103 | 12.971496 | 0.2125355 | SPBO | 7.6914 | NA | NA | NA | Dataset 10 | MPGND | -4.4953 | -4.1923 | -4.420555 | 0.0832273 | 4.4372-60 | MPA | -4.4941 | -3.1240 | -4.359911 | 0.2772618 | GNDO | -3.8503 | NA | NA | NA | STSA | 1.8189 | 4.2035 | 3.407594 | 0.5210286 | AGWO | 3.0609 | 8.7888 | 6.390348 | 1.5931690 | AOA | 11.4886 | 13.0103 | 12.823781 | 0.4858622 | SPBO | 6.5527 | NA | NA | NA |
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NA: not a number.
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