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The weight factors are derived in two ways: simple averaging and weighted averaging.
It integrates two weight factors.
using respective weight factors and.
They are the weight factors for probability and impact respectively.
The weight factors are for making these adjustments.
ω si and α si are the weight factors for security scenarios, and ω ei and α ei are the weight factors for service scenarios.
α and β are the weight factors, such that α + β = 1.
w1 and w2 are inertia weight factors which are random binary strings.
After running the GA procedure, the optimal weight factors associated with PLCM model were extracted.
Figure 9 The throughput under three policies with different weight factors.
The influence of weight factors are similar with those of in [10].
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