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Performance optimization of electrical drives implies a lot of degrees of freedom in the variation of design parameters, which in turn makes the process overly complex and sometimes impossible to handle for classical analytical optimization approaches.
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After that, MREKLM adopts an analytical optimization approach to directly deal with multi-class problems.
Findings from hybrid simulation-analytical optimization approach give invaluable knowledge to the company for the re-designing and control of current manufacturing system to increase its productivity.
Table 1 Comparison of analytical, optimization, and hybrid approaches for finding the solutions to the game Grid points where solution was found Percent Analytical approach 80 98.8 Optimization approach 103 iterations 9 11.1 104 iterations 21 25.9 105 iterations 33 40.7 Hybrid approach 102 iterations 59 72.8 103 iterations 80 98.8 104 iterations 81 100.
This game was solved using three different approaches (analytical, optimization, and hybrid).
As obtaining the exact solution to the assumed trade-off strategy with an analytical or purely optimization approach is impossible in practice, an original method combining iterative optimization procedures with simulations providing updated values to feed the optimization model is proposed to find a satisfactory risk mitigation option.
In this paper, we present a hybrid analytical and simulation optimization approach for solving a design problem in a supply chain network.
This modeling approach, used for analytical optimization of monitoring network gives the results that can be interactively visualized since it gives 3-D model visualization.
An analytical solution for the optimization of fault detection filters under the new performance index is then derived and its relationships to some known optimization approaches are finally discussed.
Hence, this work is a very important step in the analytical study of the global optimization approach of the transmitter efficiency and linearity.
Combining the mathematical power of an analytical method and the modeling capability of simulation with optimization approach called hybrid simulation-analytical modeling has been presented rarely.
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