Table 7: Effects of various standard deviations on the average MSEs of HS, IHS, NGHS, and IGHS.

Problem NI Algorithm

Example a () 2000
HS 0.031915 0.026339 0.021641 0.020161 0.031606 0.030344 0.073344
IHS 0.023133 0.01932 0.018847 0.017164 0.025531 0.02863 0.06602
NGHS 0.012373 0.01317 0.0080251 0.0087471 0.017701 0.015685 0.05541
IGHS 0.00905950.00814590.00634910.00602810.00820310.0124560.05064

Example a () 5000
HS 0.04305 0.053554 0.044272 0.061806 0.052752 0.056594 0.072702
IHS 0.040038 0.05833 0.039185 0.050786 0.059166 0.044153 0.065037
NGHS 0.01394 0.017639 0.011319 0.016349 0.017154 0.022171 0.034087
IGHS 0.00420960.00546170.00321240.0047980.00650790.010260.021561

Example b () 2000
HS 0.0020816 0.002023 0.0021274 0.0023366 0.0048039 0.011212 0.044087
IHS 0.0016932 0.0016984 0.001846 0.0020514 0.0042728 0.010803 0.043885
NGHS 0.0016883 0.0016907 0.0018335 0.0019744 0.004277 0.010804 0.043811
IGHS 0.00168810.00168940.00183210.00197340.00427280.0107990.043809

Example b () 5000
HS 0.0021598 0.002027 0.0018595 0.0023973 0.0035314 0.011308 0.042578
IHS 0.0017257 0.0017276 0.0017401 0.0022161 0.0034728 0.011198 0.042543
NGHS 0.0017311 0.0017232 0.0017334 0.0022162 0.0034424 0.011172 0.0425
IGHS 0.00170630.00171850.00172950.00220990.00342490.0111630.042491

Example a () 5000
HS 2.8627 3.9382 3.7033 3.2856 3.5386 5.1986 3.1728
IHS 2.8343 3.9123 3.6921 3.2648 3.5163 5.1678 3.1443
NGHS 2.6651 3.7442 3.5112 3.0952 3.3575 4.9886 2.9954
IGHS 2.65463.74043.48863.07473.34074.97152.9847

Example b () 5000
HS 1.2711 1.2759 1.2776 1.2868 1.292 1.2358 1.3175
IHS 1.2339 1.236 1.2508 1.2473 1.242 1.2165 1.2836
NGHS 1.0437 1.0418 1.0432 1.0411 1.0456 1.0064 1.0917
IGHS 1.02761.02641.02941.0291.02190.992131.0689