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Found 2 papers, 1 papers with code
Machine learning for design optimization of storage ring nonlinear dynamics
A novel approach to expedite design optimization of nonlinear beam dynamics in storage rings is proposed and demonstrated in this study.
Multi-objective multi-generation Gaussian process optimizer for design optimization
We present a multi-objective evolutionary optimization algorithm that uses Gaussian process (GP) regression-based models to select trial solutions in a multi-generation iterative procedure.
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