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Next, an optimization model with genetic algorithm method is developed to optimize the process.
By utilizing the defined state evaluation function, knowledge-based rules and strategies, a heuristic searching method is developed to optimize the solutions iteratively.
Four different hybrid models are contained in this architecture, and to further improve the forecasting performance, a modified bat algorithm (BA) with the conjugate gradient (CG) method is developed to optimize the initial weights between layers and thresholds of the hidden layer of neural networks.
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Specifically, a symmetric weight-boosting method was developed to optimize the instance-weighted SVM.
First, a simplex method was developed to optimize the sensitivity of an evaporative light scattering detector.
A numerical method was developed to optimize the grain pattern on EGT.
A method was developed to optimize simultaneous selection for a quantitative trait with a known QTL within a male and a female line to maximize crossbred performance from a two-way cross.
Few systematic methods have yet been developed to optimize the parameters in such models.
A simple algorithm has been developed to optimize the method for cases where the number of sources differs significantly from the number of target points.
Predictive models have been developed to optimize the approach [ 126].
Various methods have been developed to optimize blue OLED's performance.
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