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In the optimization study, polynomials explained the dependent variables.
Three variables "irradiation power; time; and temperature" were regarded as factors in the optimization study.
In the optimization study, eight operating and design parameters were used as decision variables.
In this paper, the parameters in the convert circuit are considered along with the coil parameters in the optimization study.
The objective function which is utilized in the optimization study is the total cost rate of the plant.
The coil diameter and pitch and the diameter of the pipe composing the coil are analyzed in the optimization study.
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In the optimization studies, the following parameters were sequentially tested: the polymer concentration, the 111In activity (i.e., the amount of indium), the tropolone concentration, and the pH.
In the optimization studies of the biosensor, glycine buffer (pH 10.5; 50 mM) and 30 °C were obtained as the optimum working conditions.
In the optimization studies of the biosensor the most suitable enzyme activity was found as 2.5 U/cm2 for pyruvate oxidase, and also phosphate buffer (pH 7.0; 50 mM) and 35 °C were established as providing the optimum working conditions.
While the other engineering and science disciplines have utilized visualization of 3-dimensional Pareto fronts in the optimization studies, we have not seen many of those concepts applied to traffic signal optimization problems.
One source of milk thistle seeds was used in the optimization studies.
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