Efficient initialization for multi-fidelity surrogate-based optimization

Jeroen Wackers; Riccardo Pellegrini; Andrea Serani; Michel Visonneau; Matteo Diez

doi:10.1007/s40722-022-00268-5

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Efficient initialization for multi-fidelity surrogate-based optimization

Jeroen Wackers Riccardo Pellegrini Andrea Serani Michel Visonneau Matteo Diez

Year: 2022 Journal: Journal of Ocean Engineering and Marine Energy Vol: 9 (2)Pages: 291-307 Publisher: Springer Science+Business Media

DOI: 10.1007/s40722-022-00268-5

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Keywords:

Initialization Computer science Surrogate model Fidelity Adaptive sampling Sampling (signal processing) Set (abstract data type) A priori and a posteriori Mathematical optimization Reduction (mathematics) Machine learning Surrogate data Process (computing) Artificial intelligence Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Probabilistic and Robust Engineering Design

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Efficient initialization for multi-fidelity surrogate-based optimization

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