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

Table 9

Performance explorations 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 + ES	Avg	63.6	349.2	325.7	275.4	856.1	442.6	531.6	269.3	322.7	357.9	24.2	805.7	343.7	299.6
	SD	11.1	29.9	14.5	20.7	85.9	31.4	21.7	20.5	13.1	18.0	6.7	57.3	14.9	13.8
	Time (hrs)	0.12	1.53	0.68	0.61	0.58	0.83	1.24	0.72	0.89	0.93	0.20	0.63	0.71	0.59
MMA (MRMO + LS)	Avg	46.4	353.5	362.2	249.3	938.9	378.2	423.6	255.7	377.1	340.8	14.9	1032.9	300.1	312.0
	SD	7.5	21.8	25.1	13.8	67.4	19.3	17.4	15.1	22.1	17.1	4.0	59.8	17.3	12.9
	Time (hrs)	0.45	5.09	2.80	2.68	3.64	4.68	7.00	2.94	3.08	4.95	0.60	6.14	3.12	2.93
MMA + ES	Avg	33.5	274.7	263.4	176.4	715.9	273.4	297.6	193.7	267.6	240.2	8.0	729.9	232.3	205.8
	SD	5.3	13.1	14.5	13.6	70.1	24.5	17.2	10.4	16.0	11.7	1.8	53.7	9.9	8.3
	Time (hrs)	0.47	5.17	2.74	2.60	4.82	4.60	7.00	3.04	2.91	4.91	0.60	6.81	3.45	2.94
MRMO + CSA	Avg	25.1	271.9	248.1	187.1	678.7	293.5	336.7	190.5	251.6	266.8	5.9	678.9	234.5	210.9
	SD	3.4	21.6	18.0	6.7	59.4	22.6	16.2	13.2	15.1	11.7	2.5	65.1	12.6	11.1
	Time (hrs)	0.29	1.89	1.08	1.08	1.05	1.17	1.54	1.12	1.42	1.26	0.64	1.08	1.24	1.00
MMA + CSA	Avg	21.2	242.3	231.6	146.6	569.3	230.5	260.0	170.0	242.5	212.5	4.4	672.4	200.5	181.1
	SD	2.7	24.6	20.0	7.3	43.5	19.4	13.4	10.8	12.5	14.0	1.6	65.3	9.2	13.4
	Time (hrs)	0.58	5.47	3.06	3.19	6.20	5.05	7.39	3.27	3.90	5.25	1.03	6.79	3.76	3.25