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MOGA is used as an optimizer of the present optimization.
The simplified conjugate gradient method was used as an optimizer to obtain the optimal performance, and to adjust the design variables, i.e. product air flow rate and working-to-product air flow ratio.
The pixel-wise mean square error was used as the optimization metric and an optimizer with a gradient magnitude tolerance of 10−4 and 300 iterations was used as the converging condition.
The particle swarm optimization was used as an optimizer to determine the optimum parameters.
In this study, we have only chosen PSO as an optimizer and any other global optimization algorithm can be used instead.
The optimization layer consists of an optimizer that maximizes the production of the copper solvent extraction process and gives setpoints to the controllers at the stabilizing level.
This paper is devoted to the problem of behavior design, which generalizes the standard global optimization problem of finding an optimizer by producing, on the search space, a probability density function referred to as the behavior.
To this point, we had prepared an optimizer model, which was able to optimize a gas allocation problem properly in the gas lift operation.
Consequence modeling formulas and an objective function are codified in an optimizer package (MATLAB) and to accomplish the optimization process a process simulator (called HYSYS) is coupled with this package.
As for modelling, a new level in the control architecture, namely an optimizer system, is introduced which performs real-time optimization thus simplifying the low-level control and improving the overall performance.
In the photoreactor design optimization analysis, the semi-empirical correlation model was used as an optimizer to determine the number of parallel TiO2-coated plates needed for efficient photocatalytic air purification.
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