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Accordingly, the performance of the whole network is optimized via optimal division during the routing procedure.
Thinning was optimized via optimizing parameters a1 and a2, separately for each thinning treatment.
Moreover, the fault sensitivity H− index can be optimized via a convex optimization algorithm, leading to the optimal RFDF.
Effects of the possible processing variables were optimized via the proposed optimizing algorithm to reach the global optimum.
A free-matrix-based inequality method is developed by introducing a set of slack variables, which can be optimized via existing convex optimization algorithms.
Using the calculated coupling parameters, the controller parameters are optimized via the M-norm optimization method.
This response was then optimized via Nelder Mead Downhill Simplex (NMDS) optimization technique.
In addition, controller parameters are optimized via a novel Levy flight based whale optimization algorithm (LWOA).
The treatment was optimized via chemometric tools.
Algorithmic parameters were optimized via model simulation.
The subcell order and thicknesses are optimized via transfer-matrix formalism and short-circuit current simulations.
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