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Based on the integrated objective, the simulation-based optimization method was used to optimize the parameters of HAFOR.
A multi-objective optimization method was used to optimize the operating conditions of the pseudo-SMB process with four average zone flow-rate ratios for one cycle.
The steepest descent method was used to optimize the power sharing for multiple cycles.
Subsequently Box Behnken method was used to optimize the process conditions to achieve maximum xylanase yield.
Taguchi experimental design method was used to optimize the preparation of ACF using K2HPO4.
Taguchi experimental design method was used to optimize the preparation of the adsorbents.
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Taguchi method is used to optimize the genetic algorithm parameters.
Finite element method is used to optimize the optical design.
Finally, Taguchi method is used to optimize the process parameters.
Hybrid optimization method was used to optimize generated fuzzy inference system (FIS).
A grid search method was used to optimize two corresponding parameters of SVM c and g.
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