Hyperparameters of Valhalla Optimizer
The following table describes the hyperparameters of Valhalla optimizer.
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Hyperparameter
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Description
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Budget
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Number of iterations to be run before optimizer stops.
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Elitist Percentage
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The percentage of top particles or individuals to be propagated to next iteration of optimization.
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No of Particles
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The number of particles or individuals in a population.
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No of DOE Points
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The number of points required before the initial surrogate model is created.
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Random Seed
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Seeds to initialize random number generators.
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Surrogate Iterations
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The number of iterations to be performed by internal optimizers using the generated surrogate model.
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Related Topics
Advanced Optimization
Advanced Optimizers in ADE Assembler
Example of Custom Optimization Algorithm
Integrating a Custom Optimizer into ADE Assembler
AOP Options Form
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