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The black-box optimization strategy is used: the NSGA-II evolutionary algorithm optimized the process design variables and, for each sampled solution, first the process is simulated with Aspen Plus®, then sizes and costs of the equipment units are computed with calibrated correlations.
The proposed scheme has successfully optimized the process parameters.
Chen et al. (2013) optimized the process parameters for the plastic injection molding.
In this work, we extended the choice of metal salts and optimized the process, to achieve sub-20-nm resolution nanostructures over a large area.
Azad and Puri (2012) optimized the process performances such as, metal removal rate, tool wear rate and overcut based on Taguchi methodology.
Wang and Yan (2000) optimized the process parameters of rotary electro-discharging machining using Taguchi methodology while drilling of Al2O3/6061Al composite.
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Response surface methodology with a cubic IV optimal design was used to evaluate and optimize the process.
Next, an optimization model with genetic algorithm method is developed to optimize the process.
Everything from analytics to processing should be provided to creators to help them optimize the process.
A fourth reason for decision making in an automated system is to optimize the process.
Advanced control algorithms can be applied by the computer to optimize the process.
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