Table 19.

Comparison of percentage convergent runs of the ENN-GNDO-IPA algorithm achieving different levels of fitness value, MAE, TIC, RMSE, and ENSE.

		Fit			MAE			TIC			RMSE			ENSE
	≤${\mathbf{10}}^{-\mathbf{7}}$	≤${\mathbf{10}}^{-\mathbf{8}}$	$\le {\mathbf{10}}^{-\mathbf{9}}$	≤${\mathbf{10}}^{-\mathbf{6}}$	≤${\mathbf{10}}^{-\mathbf{7}}$	≤${\mathbf{10}}^{-\mathbf{8}}$	≤${\mathbf{10}}^{-\mathbf{6}}$	≤${\mathbf{10}}^{-\mathbf{7}}$	≤${\mathbf{10}}^{-\mathbf{8}}$	$\le {\mathbf{10}}^{-\mathbf{6}}$	≤${\mathbf{10}}^{-\mathbf{7}}$	$\le {\mathbf{10}}^{-\mathbf{8}}$	≤${\mathbf{10}}^{-\mathbf{8}}$	≤${\mathbf{10}}^{-\mathbf{9}}$	≤${\mathbf{10}}^{-\mathbf{10}}$
$\beta =0.0$	95	69	62	62	61	61	98	62	61	62	61	61	98	95	62
$\beta =0.3$	94	94	50	94	50	50	97	82	50	94	50	50	97	96	94
$\beta =0.6$	97	94	93	97	50	46	100	97	50	97	50	46	100	98	97
$\beta =1.2$	97	95	89	97	87	48	99	97	87	97	97	45	99	99	97
$S_h=0.25$	99	98	98	98	98	44	99	98	94	98	94	44	99	99	99
$S_h=0.50$	93	89	84	87	47	47	95	87	48	87	47	47	97	95	95
$S_h=0.75$	96	93	62	95	54	54	98	93	54	95	54	54	99	98	95
$S_h=1.00$	92	91	58	62	52	52	93	61	53	62	52	52	96	93	62
$\gamma =0.0$	95	91	59	91	50	50	97	91	51	91	50	50	97	91	91
$\gamma =0.1$	94	92	83	94	56	56	98	94	56	94	56	56	98	96	94
$\gamma =0.2$	99	98	93	99	51	52	100	99	51	99	51	52	100	100	99
$\gamma =0.3$	97	95	94	98	55	52	100	98	73	98	55	52	100	99	99
$Q=0.0$	95	95	63	95	53	53	97	68	54	95	53	53	97	97	96
$Q=0.1$	91	90	63	92	58	58	97	88	59	92	58	58	98	92	92
$Q=0.2$	90	88	52	95	50	50	99	95	49	95	50	50	99	95	95
$Q=0.3$	95	88	55	91	49	49	99	91	52	91	49	49	99	92	91