Surrogate-assisted multi-objective design of complex multibody systems
Fuente:
arXiv
Saved in:
| Main Authors: | Amakor, Augustina C., Berkemeier, Manuel B., Wohlleben, Meike, Sextro, Walter, Peitz, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A multiobjective continuation method to compute the regularization path of deep neural networks
by: Amakor, Augustina C., et al.
Published: (2023)
by: Amakor, Augustina C., et al.
Published: (2023)
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
by: Hotegni, S. S., et al.
Published: (2023)
by: Hotegni, S. S., et al.
Published: (2023)
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
by: Peitz, Sebastian, et al.
Published: (2024)
by: Peitz, Sebastian, et al.
Published: (2024)
Common pitfalls to avoid while using multiobjective optimization in machine learning
by: Akhter, Junaid, et al.
Published: (2024)
by: Akhter, Junaid, et al.
Published: (2024)
Towards Robust Interpretable Surrogates for Optimization
by: Goerigk, Marc, et al.
Published: (2024)
by: Goerigk, Marc, et al.
Published: (2024)
Feature-Based Interpretable Surrogates for Optimization
by: Goerigk, Marc, et al.
Published: (2024)
by: Goerigk, Marc, et al.
Published: (2024)
Surrogate-based optimization of system architectures subject to hidden constraints
by: Bussemaker, Jasper, et al.
Published: (2025)
by: Bussemaker, Jasper, et al.
Published: (2025)
Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate
by: Pham, Hung, et al.
Published: (2025)
by: Pham, Hung, et al.
Published: (2025)
Towards safe control parameter tuning in distributed multi-agent systems
by: Tokmak, Abdullah, et al.
Published: (2025)
by: Tokmak, Abdullah, et al.
Published: (2025)
SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)
by: Strässer, Robin, et al.
Published: (2024)
Derivative-free tree optimization for complex systems
by: Wei, Ye, et al.
Published: (2024)
by: Wei, Ye, et al.
Published: (2024)
Parametric Nonconvex Optimization via Convex Surrogates
by: Wang, Renzi, et al.
Published: (2026)
by: Wang, Renzi, et al.
Published: (2026)
Solving Hidden Monotone Variational Inequalities with Surrogate Losses
by: D'Orazio, Ryan, et al.
Published: (2024)
by: D'Orazio, Ryan, et al.
Published: (2024)
Relaxation-Informed Training of Neural Network Surrogate Models
by: Tsay, Calvin
Published: (2026)
by: Tsay, Calvin
Published: (2026)
The impact of AI on engineering design procedures for dynamical systems
by: de Payrebrune, Kristin M., et al.
Published: (2024)
by: de Payrebrune, Kristin M., et al.
Published: (2024)
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
by: Orabona, Francesco, et al.
Published: (2025)
by: Orabona, Francesco, et al.
Published: (2025)
Surrogate-based Optimization via Clustering for Box-Constrained Problems
by: Ahmad, Maaz, et al.
Published: (2026)
by: Ahmad, Maaz, et al.
Published: (2026)
Counterfactual optimization for fault prevention in complex wind energy systems
by: Carrizosa, Emilio, et al.
Published: (2025)
by: Carrizosa, Emilio, et al.
Published: (2025)
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
by: Paulson, Joel A., et al.
Published: (2024)
by: Paulson, Joel A., et al.
Published: (2024)
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling
by: Rosso, Haley, et al.
Published: (2025)
by: Rosso, Haley, et al.
Published: (2025)
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
by: Im, Hyungki, et al.
Published: (2025)
by: Im, Hyungki, et al.
Published: (2025)
Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
by: Josyula, S., et al.
Published: (2025)
by: Josyula, S., et al.
Published: (2025)
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
by: Zhu, Mengjia, et al.
Published: (2023)
by: Zhu, Mengjia, et al.
Published: (2023)
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
by: Khatti, Zahra, et al.
Published: (2025)
by: Khatti, Zahra, et al.
Published: (2025)
SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Scalarisation-based risk concepts for robust multi-objective optimisation
by: Tu, Ben, et al.
Published: (2024)
by: Tu, Ben, et al.
Published: (2024)
Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design
by: Saves, Paul, et al.
Published: (2025)
by: Saves, Paul, et al.
Published: (2025)
Adaptive Learning-based Surrogate Method for Stochastic Programs with Implicitly Decision-dependent Uncertainty
by: Shen, Boyang, et al.
Published: (2025)
by: Shen, Boyang, et al.
Published: (2025)
Randomized multi-class classification under system constraints: a unified approach via post-processing
by: Chzhen, Evgenii, et al.
Published: (2025)
by: Chzhen, Evgenii, et al.
Published: (2025)
Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
by: Hu, Junkai, et al.
Published: (2025)
by: Hu, Junkai, et al.
Published: (2025)
Data-driven topology design based on principal component analysis for 3D structural design problems
by: Yang, Jun, et al.
Published: (2024)
by: Yang, Jun, et al.
Published: (2024)
Distributed optimization: designed for federated learning
by: Guo, Wenyou, et al.
Published: (2025)
by: Guo, Wenyou, et al.
Published: (2025)
Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems
by: Zhang, Jingguo, et al.
Published: (2025)
by: Zhang, Jingguo, et al.
Published: (2025)
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
by: Minh, Nguyen Anh, et al.
Published: (2024)
by: Minh, Nguyen Anh, et al.
Published: (2024)
Scenario theory for multi-criteria data-driven decision making
by: Garatti, Simone, et al.
Published: (2026)
by: Garatti, Simone, et al.
Published: (2026)
Adaptive decision-making for stochastic service network design
by: Durán-Micco, Javier, et al.
Published: (2026)
by: Durán-Micco, Javier, et al.
Published: (2026)
Geometric design of the tangent term in landing algorithms for orthogonality constraints
by: Goyens, Florentin, et al.
Published: (2025)
by: Goyens, Florentin, et al.
Published: (2025)
Multi-level Optimal Control with Neural Surrogate Models
by: Kalise, Dante, et al.
Published: (2024)
by: Kalise, Dante, et al.
Published: (2024)
Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate
by: C., Simo Alami, et al.
Published: (2025)
by: C., Simo Alami, et al.
Published: (2025)
Gearing Gaussian process modeling and sequential design towards stochastic simulators
by: Binois, Mickael, et al.
Published: (2024)
by: Binois, Mickael, et al.
Published: (2024)
Similar Items
-
A multiobjective continuation method to compute the regularization path of deep neural networks
by: Amakor, Augustina C., et al.
Published: (2023) -
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
by: Hotegni, S. S., et al.
Published: (2023) -
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
by: Peitz, Sebastian, et al.
Published: (2024) -
Common pitfalls to avoid while using multiobjective optimization in machine learning
by: Akhter, Junaid, et al.
Published: (2024) -
Towards Robust Interpretable Surrogates for Optimization
by: Goerigk, Marc, et al.
Published: (2024)