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.

DatasetAlgorithmsMinimumMaximumMeanStd. deviation value

Dataset 1MPGND-5.0353-4.6055-4.9717990.08422450.3725
MPA-5.03900.8748-4.7360401.0733152
GNDO-4.6940NANANA
STSA1.38673.80492.9927321.0432979
AGWO4.36128.04876.2509860.5431646
AOA11.429113.010312.8714800.4258639
SPBO5.7984NANANA
Dataset 2MPGND-7.6795-7.4268-7.6193330.05334621.7219-37
MPA-7.6737-7.4363-7.6093630.0558062
GNDO-7.4016-5.7387-6.6300760.4245837
STSA1.29873.44762.4836300.6018840
AGWO-1.35478.64275.1207092.5246429
AOA4.960813.010311.5408792.8188932
SPBO4.3756NANANA
Dataset 3MPGND-5.0329-4.7821-4.9630540.06048512.6711-56
MPA-5.0320-3.0296-4.8477410.4636465
GNDO-4.58562.4853-2.9417801.5729501
STSA1.59814.13612.9820840.5763874
AGWO2.58648.63885.6280071.3833722
AOA11.027113.010312.8566820.4839176
SPBO5.6385NANANA
Dataset 4MPGND-6.2499-6.0708-6.2047470.04158122.14592-22
MPA-6.2479-5.3300-6.1701700.1623287
GNDO-6.0514-4.8293-5.4831680.2581445
STSA0.96363.83982.2919700.6265332
AGWO-1.12768.05905.2802502.2070198
AOA4.800113.010311.7565452.5926190
SPBO1.8805NANANA
Dataset 5MPGND-7.6628-6.0328-7.5565240.29275832.6711-56
MPA-7.6702-7.4857-7.6123440.0424757
GNDO-7.5239-5.6587-6.4901700.5304868
STSA1.20613.61502.4488040.6424697
AGWO-1.41157.36414.8971112.3316796
AOA4.045713.010311.9791762.7014299
SPBO4.8835NANANA
Dataset 6MPGND-6.2420-6.0254-6.1948830.04548566.4893-20
MPA-6.2520-6.0199-6.2049550.0499140
GNDO-5.9981NANANA
STSA1.10073.13142.2956110.4713219
AGWO-0.01417.33844.6977821.8008367
AOA3.555513.010312.0762952.4419530
SPBO4.2507NANANA
Dataset 7MPGND-5.0351-4.8050-4.9602840.05334604.437-60
MPA-5.0304-0.0620-4.7832090.8989318
GNDO-3.1342NANANA
STSA2.02323.95663.1780770.4732431
AGWO2.92108.15776.2840941.2189823
AOA11.351613.010312.8629740.4515585
SPBO8.0443NANANA
Dataset 8MPGND-7.2786-6.6134-7.1938370.12339366.1764-34
MPA-7.2788-5.2792-7.1232290.3626609
GNDO-6.7108-4.0510-5.8534000.6097682
STSA1.28953.13272.4953110.4558036
AGWO-0.76108.56114.8410222.6100941
AOA4.639513.010312.3503211.8322584
SPBO4.8479NANANA
Dataset 9MPGND-5.0368-4.4658-4.9172260.14788346.44134-53
MPA-5.0352-2.5880-4.8489560.4633953
GNDO-3.8810NANANA
STSA2.22824.30813.3949010.4834886
AGWO4.55808.16046.5150270.8505038
AOA11.846213.010312.9714960.2125355
SPBO7.6914NANANA
Dataset 10MPGND-4.4953-4.1923-4.4205550.08322734.4372-60
MPA-4.4941-3.1240-4.3599110.2772618
GNDO-3.8503NANANA
STSA1.81894.20353.4075940.5210286
AGWO3.06098.78886.3903481.5931690
AOA11.488613.010312.8237810.4858622
SPBO6.5527NANANA

NA: not a number.