An Optimal Composition Strategy for Knowledge Service Component Based on Flexible Tracking Particle Swarm Algorithm

Table 1

Component sequences for .

	Name	DKEij		Included component	Reuse efficiency	Reuse cost
	Maintenance training	Maintenance knowledge training	1	C11 C12 C13 C21 C22	0.04	23.54
			2	C11 C12 C14 C21 C24	0.05	27.93
			3	C35 C36 C37 C311	0.06	32.46
		Maintenance case training	1	C14 C15 C16 C24 C25	0.04	24.57
			2	C14 C15 C16 C21 C24	0.05	28.32
			3	C310	0.07	33.65
	Maintenance knowledge, reasoning, and query	Maintenance knowledge and tool reasoning	1	C17 C27 C28	0.05	23.44
			2	C18 C28 C29	0.06	25.26
			3	C18 C211C212	0.06	24.53
		Maintenance knowledge and technology query	1	C111 C112 C213 C214	0.05	26.21
			2	C111 C22 C23	0.07	31.13
	Maintenance tool pushing	Maintenance tool information pushing	1	C211 C222	0.05	25.33
			2	C18 C19 C110 C219	0.06	26.45
		Maintenance tool information customization	1	C112 C213 C221 C212	0.06	19.78
			2	C111 C213 C214 C223	0.05	21.34
	Maintenance process guidance	Maintenance knowledge and case query	1	C116 C14 C16 C24 C25 C2 C111 C111	0.04	27.45
			2	C116 C14 C15 C23 C24	0.06	28.25
			3	C34 C36 C38 C39	0.08	34.16
		Maintenance posture and tool pushing	1	C14 C15 C16 C113	0.05	25.67
			2	C21 C22 C23 C28 C29	0.05	26.23
			3	C14 C15 C16 C111	0.07	32.61
	Maintenance collaborative interaction	Synergetic annotation	1	C213 C214 C225 C226	0.05	27.18
			2	C31	0.07	33.24
		Failure consultation	1	C15 C16 C111 C213	0.05	27.54
			2	C15 C16 C31 C33 C38	0.07	31.52