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Orthogonal experimental design has been utilized to optimize experimental factors that affect the analysis of artemisinin.
The proposed algorithm has been utilized to optimize the performance of two different IP platforms; single and double IP with a new configuration of an extended intermediate body.
These genes have already been utilized to optimize l-glutamic acid fermentation in an industrial strain, C. glutamicum[ 20, 21], thus supporting the accuracy of our dynamic simulation model for understanding E. coli metabolism.
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Meanwhile, the particle swarm optimization (PSO) algorithm is utilized to optimize the SRITCSD method, which is exploited to select a nearly optimal combination of features and a set of parameters utilized in the SVM.
And genetic algorithms (GAs), a general-purpose global optimization method, are utilized to optimize the membership functions of the fuzzy controller.
Response surface methodology as a multiple responses optimization technique was utilized to optimize several important factors such as the biomass content of the medium (w/v), inoculum size and agitation rate.
After designing output feedback SMC, teaching and learning based optimization (TLBO) technique is utilized to optimize feedback gain and switching vector of the controller.
It is expected that the proposed steady-state model, parameter estimation and optimization methods can be utilized to optimize and design modem-type FCC processes under full and partial combustion modes.
Then the D-optimal experimental design software was utilized to optimize the preparation of the GO based catalysts.
The derived models are utilized to optimize the amplifier structure through particle swarm optimization (PSO) to obtain a large resonance frequency subject to other performance constraints.
In the upper-level formulation, the optimal pattern search (OPS) algorithm is utilized to optimize the proportion of wind and PV capacity.
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