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A multi-objective optimization model is established to optimize the process parameters during PIM on the basis of the finite element simulation software Moldflow, Orthogonal experiment method, BP neural network as well as Genetic algorithm.
Response Surface Method has been established to optimize and model the responses mathematically.
In a Cadence environment, a novel automated methodology is established to optimize (electrostatic discharge) ESD networks.
Then, a hybrid automata has been established to optimize the power production.
A computational model based on genetic algorithm (GA) is established to optimize the gear ratios.
After the industrial ecosystem constructed, a mathematical model is established to optimize the industrial ecosystem, and four aspects of objective functions, including resource efficiency, economic profit, environmental effect and comprehensive benefit, are optimized.
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After detailed analysis of the operating modes, various objective functions are established to pre-optimize the power split between engine and motor or two motors.
A multi-objective optimization model coupling TRNSYS and NSGA-II tool is established to study and optimize the PV/T DHW system for a complete year.
Based on the single-stage extraction model and the law of mass conservation, a fractional extraction model was established to simulate and optimize the fractional extraction process.
By adapting an established algorithm to optimize disease mitigation policies, this study provides an advance from the traditional candidate strategy approach to rapid and systematic analysis of numerous policy options.
Established methods to optimize cardiac function and fluid balance based on flow-related variables are invasive or require considerable attentiveness.
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