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Figure 12 summarizes the optimal tuning of the accelerating factor.
Also, two optimal tuning procedures for the algorithm are proposed.
Open image in new window Fig. 12 Optimal tuning of the accelerating factor for the GSA.
During online processing, we find the optimal tuning parameters as (14).
The optimal tuning is facilitated by a priority policy based on the significance of defects.
However, an open question remains: how to select the optimal tuning parameters?
GA will get the optimal or "near optimal" tuning parameter on-line after some generations.
The method is applicable to optimal tuning in nonlinear control problems.
In the present paper, optimal tuning rules coupled with MRFT, for flow loops, are proposed.
A new optimal tuning law is derived, and the stability conditions of the system are investigated.
The algorithm for FLC optimal tuning based on the SA method is applied and the resulting controller parameters are set.
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