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High quality microstructure modeling can optimize the design of fuel cells.
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In addition, the multi-objective particle swarm optimization (MOPSO) algorithm and radial basis function (RBF) surrogate model can optimize the structure effectively.
Based on various specified evaluation criteria, the model can optimize a phased development plan.
The model can optimize alignments in mountainous terrain or regions with very complex geography.
Finally, the model can optimize the dosage of hydrogen peroxide in order to avoid the loss of this reagent.
These preliminary results suggest that the proposed model can optimize geometry, TE and TS of urban single-lane roundabouts.
The comparison of multiple models in this study also reveals that spatial econometric models can optimize traditional hedonic price models to obtain highly robust results.
Adopting multi-encoding, the model can optimize the input nodes, hidden nodes, transfer function, weights and bias of BP networks dynamically and adaptively.
The proposed response measure decision-making model can optimize a response plan by balancing the response effectiveness and the response negative impact in both a single response measure and a set of response measures.
With the help of the simulation results, we show that our proposed controller placement model can optimize the placements of controllers with a lower latency compared to other possible controller placement methods including the existing SDVN architectures and conventional VANETs.
By using energy modeling, developers can optimize the design of the building's energy system, adjust plans in real-time, and more effectively manage the construction of a building's energy infrastructure.
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CEO of Professional Science Editing for Scientists @ prosciediting.com