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To have a better understanding and optimal design of the system, an optimization is performed.
They allow starting with the primary measures which are applied on a specific part of a technical system an optimization of surrounding or coupled components or subsystems.
The methods used include: a general simulation model, built in Arena 11.0®, that seeks to mimic the studied system; an optimization procedure based on response surface methodology (RS M, including design of simulation experiments, stepwise regression (in SPSS® 11.0), and a nonlinear objective function and constraints solved with MATLAB®.
In this study, based on the 6-DOF coupling vibration model of the mounting system, an optimization algorithm was used to extract the best design parameters of the mounts, thus rendering the mounting system fully decoupled and frequency well configured, and the optimal parameters were used to design the mounting system.
Based on the 6-degrees-of-freedom vibration coupling model of the powertrain mounting system, an optimization algorithm is used to extract the best design parameters of each mount, thus rendering the mounting system fully decoupled and the natural frequency well configured, and the optimal parameters are used to design the mounting system.
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With respect to the existing design issues of satellite separation systems, an optimization design approach based on Multi-Island Genetic Algorithm is proposed, and a hierarchical optimization of system mass and separation angular velocity is designed.
As part of its FDA application, the DEKA system underwent an optimization study that was funded by the Department of Veterans Affairs (VA) and carried out at VA and U.S. Department of Defense medical centers.
The equalizer span and the detection delay are important parameters that influence the performance of the system, but an optimization of these is not treated in this paper.
We then provide our control system scheme and an optimization algorithm.
In this paper we address the optimal sizing and scheduling of isolated hybrid systems using an optimization framework.
We then analyzed the proposed systems using an optimization technique for the minimum cost or CO2 emission.
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