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The model of DFIG for small signal stability analysis was presented in [3] and the particle swarm optimization (PSO) method was adopted to optimize the controller parameters.
Sequential optimization strategy using Plackett Burman screening and response surface methodology was adopted to optimize the submerged fermentation process.
In [5], the minimizing mean square error (MMSE) criterion was adopted to optimize the beamforming coefficients.
In [10], a heuristic variant of the gradient ascent method was adopted to optimize antenna tilt.
A rational experimental design was adopted to optimize the properties of SNEDDSs.
For further study, the orthogonal experiment method was adopted to optimize the novel process.
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Particle swarm optimization is adopted to optimize the parameter settings through the well-trained BP model, where each particle is assessed using fitness function.
Both dual- and triple-objective optimizations were adopted to optimize the shape of the inlet/outlet diffusion segment, the response surface methodology (RSM) was used to generate approximate functions relating to the objectives and design parameters, and the non-dominated sorting genetic algorithm (NSGA-II) was selected to conduct the optimizations.
Bothe single objective and multi-objective optimization are adopted to optimize the configurations of multi rows film cooling holes, and the Multi-Island Genetic Algorithm and The response surface approximation with the Non-dominated Sorting Genetic Algorithm (NSGA-II) are selected to conduct the optimizations.
In order to prevent the interaction between two types of variables and enhance global search ability of traditional particle swarm optimization (PSO), intelligent single particle optimizer (ISPO) is adopted to optimize this model.
Several different multiobjective optimization schemes were adopted to optimize the coated bead size and volume fraction, which reveal that the optimal design parameters of particle diameter and volume fraction are 100 μm – 35% and 38 μm – 17.5% for the cortical and cancellous bones respectively, agreeing with clinical data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com