Dynamic member service selection method based on descending factors in service combination
A technology of service selection and service combination, applied in the field of member service selection system, can solve problems such as increased fees, low response time, and service quality degradation
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[0060] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings. In the present invention, the computer is a CPU above Pentium 2, a hard disk above 10G, and an ordinary desktop microcomputer with general computing capability.
[0061] The specific implementation plan is:
[0062] use figure 2 The combined service shown is used as the experimental object (specific service quantity N=200), the information heuristic factor α=1 in the state transition rule, the expected heuristic factor β=2, and the information volatility coefficient in the pheromone update rule is R=0.1, Maximum number of cycles N s max = 10 , Tr=0.6, C=300, Ti=100, Q 0 = 0.95.
[0063] On the experimental data, in addition to specific services {0, 100, 110, 50, 60, 70, 80, 120, 130, 150, 140, 180}, set a set of optimal parameters (namely service tr...
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