Cloud Manufacturing Service Composition Optimization with Improved Genetic Algorithm

Table 1

Collocation table between cloud services and manufacturing tasks.

Jj							TF	HF	DF	CD	CE
J1	S1		49	20	4	31	0.4	0.6	0.8	0.58	1.220
			60	19	2	39	0.2	0.3	1	0.47	1.316
J2	S2		75	24	3	42	0.8	0.5	0.4	0.59	1.343
			63	20	2	51	0.2	0.4	0.8	0.44	1.309
			72	16	1	50	0.4	0.8	1	0.7	1.735
J3	S3		77	30	2	35	0.2	0.6	0.4	0.38	1.224
			68	24	2	35	0.4	0.7	0.8	0.61	1.283
			62	16	3	30	0.8	0.5	1	0.77	1.691
			76	20	1	32	0.4	0.9	0.4	0.55	1.527
J4	S4		90	24	2	25	0.6	0.9	0.8	0.75	1.580
			83	30	1	22	0.8	0.5	1	0.77	1.190
J5	S5		79	30	3	49	0.8	0.9	0.8	0.83	1.281
			46	24	4	40	0.2	0.5	1	0.53	0.919
			52	24	1	45	0.2	0.8	0.4	0.44	0.991
J6	S6		48	30	2	31	0.6	0.7	1	0.75	0.792
			58	40	1	36	0.2	0.4	0.8	0.44	0.689
J7	S7		55	30	1	35	0.6	0.3	1	0.63	0.765
			62	24	2	40	0.6	0.9	0.8	0.75	1.251