Modifying Regeneration Mutation and Hybridising Clonal Selection for Evolutionary Algorithms Based Timetabling Tool

Table 10

Statistical Analysis using a t-test for EA with/without ES, LS, and CSA hybridisations.

Methods	Statistical analysis	Problems
		1	2	3	4	5	6	7	8	9	10	11	12	13	14
MRMO versus MMA	value	7.68	5.81	0.69	9.04	1.44	17.41	25.33	6.81
	value	0.000	0.000	0.500	0.000	0.173	0.000	0.000	0.000
	%Imp	48.79	15.21	2.16	21.78	5.99	31.94	36.82	14.97
	Avg %Imp =		18.51
MRMO versus MRMO + ES	T value	4.27	5.34	4.62	4.76	3.18	8.8	13.14	3.95	6.34	5.98	4.63	2.04	2.09	1.52
	P value	0.001	0.000	0.000	0.000	0.006	0.000	0.000	0.001	0.000	0.000	0.001	0.057	0.054	0.148
	%Imp	29.8	16.24	12.02	13.59	14.28	20.35	20.72	10.44	13.51	12.43	51.79	5.7	5.06	3.45
	Avg %Imp =		16.38
MRMO versus MMA + ES	T value	10.36	15.1	11.09	18.6	6.72	25.06	38.42	19.01	12.47	23.05	8.07	5.4	16.18	17.09
	P value	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
	%Imp	63.02	34.11	28.85	44.65	28.32	50.8	55.62	35.58	28.28	41.23	84.06	14.57	35.83	33.68
	Avg %Imp =		41.33
MRMO versus MRMO + CSA	T value	12.23	13.34	11.98	19.75	7.92	24.14	34.99	17.79	14.63	19.43	8.43	6.8	15.2	15.16
	P value	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
	%Imp	72.3	34.78	32.98	41.29	32.04	47.18	49.78	36.65	32.56	34.72	88.25	20.54	35.22	32.03
	Avg %Imp =		42.17
MRMO versus MMA + CSA	T value	13.05	15.19	13.12	25.57	11.21	31.81	45.18	22.89	16.63	25.49	8.77	7.04	20.39	18.55
	P value	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
	%Imp	76.6	41.88	37.44	54	43	58.52	61.22	43.47	35	48.01	91.24	21.3	44.61	41.64
	Avg %Imp =		49.85