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, which can solve the problems of service quality degradation, cost increase, and low response time.
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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 (the number of specific services N=200), the information heuristic factor α=1 in the state transition rule, the expected heuristic factor β=2, and the information volatilization 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...
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