Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design.
The design of the tube fin heat exchanger for optimal heat transfer and pressure drop characteristics was also determined with the optimization parameter like louver angle, fin pitch, and ice slurry flow velocity.
Since the eigenvalue is a function of the optimization parameter γ, by minimizing it with respect to γ one finds an optimized value of the fundamental frequency coefficient.
In particular, we propose a numerical method for optimizing the design of the cam profile using a Bézier ordinate as an optimization parameter.
Includes discussion of genetic algorithms and evolutionary programming, theories of optimization, parameter tradeoffs, and hypothesis testing.
The spherical scatter width of the components was also taken into account as an optimization parameter.
The effects of particles size distribution on spectral reflectivity, optimization parameter, and color coordinates were discussed.
Based on topology optimization, parameter optimization design and reliability analysis, its integrated design method was proposed.
The solar fraction of the entire system is used as the optimization parameter.
The solar fraction of the system was used as the optimization parameter.
Sensitivity analyses explore the trade-off between optimization and robustness by varying the robust optimization parameter values.
