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For each type of modules with heat recovery design, the response surface method (RSM) is applied to develop the performance-variables quadratic model, followed by the multivariable optimization.
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The proposed framework can implement constrained multivariable optimization without the tendency of being trapped into local optima.
Applying "FMINCON," a constrained nonlinear multivariable optimization function in MATLAB software, the optimal results of Eqs.
Experimental design for multivariable optimization by Taguchi had also been implemented.
The proposed approach allows for efficient and reliable multivariable optimization of fuel cell designs.
A multivariable optimization was conducted with propulsion specifications and propellant consumptions obtained by solving optimal control problems for a lunar soft landing.
Using this model, a multivariable optimization problem is formulated in order to maximize the current density at a given electrode voltage with respect to electrode composition parameters, and the optimization problem is solved using a gradient-based optimization algorithm.
Statistical design, multivariable optimization, high-throughput experimentation.
The proposed method is based on optimum passband frequency, which is calculated using empirical formulas instead of using time consuming single or multivariable optimization.
This is done with a view to convert a multivariable optimization problem into a set of two-variable optimization scheme which makes the problem much simpler.
In order to overcome this problem, multivariable optimization methods should be carried out.
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