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Lai et al. (2006) used LPP as an effective multi-objective optimization method to optimize QFD.
This work presents a new method of multi-objective optimization method to optimize several controller parameters.
Lai et al. (2006) used linear physical programming (LPP) as an effective multi-objective optimization method to optimize QFD.
Hence, the need to use a statistical method to optimize and standardize substrate mixtures for optimal growth and yield.
A method to optimize the GOP size is also proposed.
A method to optimize the parameters will be given.
We introduce a method to optimize 3D TCs in order to increase the MHD even more.
We used to deploy the nodes into a non-equidistant method to optimize the network lifetime.
The best method to optimize the settling time is by using the IAE.
Then, our HCPF uses AAM tracking method to optimize the tracking results.
Here we adopt the trial-and-error method to optimize these parameters.
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