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This manuscript describes the development of an adaptive response surface method for optimization of computation-intensive models, capable of reducing optimization times.
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Surrogate-assisted evolutionary optimization has proved to be effective in reducing optimization time, as surrogates, or meta-models can approximate expensive fitness functions in the optimization run.
In summary, this study clearly demonstrates that the new iCELLis Nano system may provide the ease of scalability thus reducing optimization time on scaling up the process to manufacturing scales and improving the productivity of currently manufactured and new viral vaccines.
The multivariate method helps to reduce optimization time and improve analytical throughput.
The methodology was proved to give a robust and powerful tool to design efficient dwellings reducing the optimization time from almost 12 days to 4.4 h.
The aim of this paper is to analyze the applicability of global optimization techniques to reduce the optimization time of wireless experimentation.
To reduce the optimization time, the method is designed as an asynchronous master-slave parallel system that allows simultaneous evaluation of several trial solutions.
The substitution of the complex first-principle MEA unit model with a compact blackbox model applying these correlations reduces the optimization time of the overall process considerably without penalizing the overall power plant model quality.
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The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.
In a later in vivo study on neurons, the optimization time was reduced down to ~2 s [40].
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