4 results for "Sebastian Peitz"
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Journal Article Full text
A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction
Multiobjective optimization plays an increasingly important role in modern applications, where several criteria are often of equal importance. The task in multiobjective optimization and multiobjective optimal control is therefore to compute the set of optimal compromises (the Pareto set) between…
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Journal Article Full text
Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
We present a local trust region descent algorithm for unconstrained and convexly constrained multiobjective optimization problems. It is targeted at heterogeneous and expensive problems, i.e., problems that have at least one objective function that is computationally expensive. Convergence to a…
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Journal Article
A multiobjective continuation method to compute the regularization path of deep neural networks
Sparsity is a highly desired feature in deep neural networks (DNNs) since it ensures numerical efficiency, improves the interpretability (due to the smaller number of relevant features), and robustness. For linear models, it is well known that there exists a regularization path connecting the…
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Journal Article Full text
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control