Our approach optimizes the communication cost of the design.
Based on these results, the approach optimizing the performance of VIS is proposed, which is realized by adjusting VOM actively.
We successfully demonstrated that a standardized quality risk management approach optimizes the product development sustainability and supports the regulatory aspects.
The proposed evolutionary approach optimizes the most significant predictor input variables in the model for both accuracy and complexity, while simultaneously solving the unknown parameters of the model.
These results indicate that a precise site-specific sprayer can be designed using the proposed approach, optimizing the use of herbicides in precision farming.
In addition, compared with the two-step approach optimizing the timetable and speed profile separately, the integrated approach can reduce the net energy consumption around 20%.
The proposed approach optimizes the process by establishing Pareto curves that demonstrate the tradeoff between the safety metrics and the economic objectives of the process.
This approach optimizes the valuable information inherent in complex clinical datasets.
This approach optimizes the cofactor matrix by determining the measurement weights between candidate and network stations.
The adaptive approach optimized the reservation price function instead of fixed cutting years.
