Sustainable Modular Adaptive Redundancy Technique Emphasizing Partial Reconfiguration for Reduced Power Consumption

Table 6

Fitness and timing information for 20 GA runs.

Run #	Final fitness			Timing information
	Best	Average	Number of generations	Total fitness evaluation time (sec)	Total FPGA configuration time (sec)	Total genetic operators time (μsec)
1	2047	2033	147	23.69	83.50	2098.75
2	2047	2043	217	35.27	111.97	3172.50
3	2047	2006	78	12.13	35.65	1106.88
4	2047	2015	156	25.34	81.74	2421.88
5	2047	1989	99	15.96	50.09	1470.00
6	2047	2001	148	24.09	77.40	2205.00
7	2047	2005	152	25.01	79.34	2170.63
8	2047	2020	126	20.50	63.76	1835.94
9	2047	2044	252	41.27	127.01	3686.56
10	2047	2032	71	11.46	36.00	984.38
11	2047	2000	221	35.99	112.49	3093.75
12	2047	1998	162	26.27	75.82	2364.69
13	2047	2018	103	16.65	51.19	1530.00
14	2047	2044	129	21.18	64.89	1920.00
15	2047	2046	177	29.01	91.33	2585.00
16	2047	2045	161	78.80	84.85	2250.00
17	2047	2007	75	12.18	39.00	1133.13
18	2047	1993	233	38.11	117.43	3480.00
19	2047	2015	62	9.99	31.93	876.88
20	2047	2044	202	33.42	98.78	2826.56
Average		2019.90	148.55	26.82	75.71	2160.63
Standard deviation		19.80	56.73	15.40	29.00	825.48
Confidence		0.95	0.95	0.95	0.95	0.95
Alpha		0.05	0.05	0.05	0.05	0.05
95% confidence interval		(2011.2, 2028.58)	(123.69, 173.41)	(20.07, 33.57)	(63.00, 88.42)	(1798.85, 2522.4)