All Stories

  1. Modeling hierarchical spaces: a review and unified framework for surrogate-based architecture design
  2. A distance for mixed-variable and hierarchical domains with meta variables
  3. SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
  4. High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
  5. System architecture optimization strategies: dealing with expensive hierarchical problems
  6. Explainability and Interpretability of an Ensemble Multi-agent System for Supervised Learning
  7. Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints
  8. High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
  9. High-dimensional multidisciplinary design optimization for aircraft eco-design
  10. SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes
  11. A Graph-Structured Distance for Mixed-Variable Domains with Meta Variables
  12. A mixed-categorical correlation kernel for Gaussian process
  13. High-dimensional efficient global optimization using both random and supervised embeddings
  14. Infill criterion for constrained, multi-objective black-box functions with Bayesian optimization
  15. A general square exponential kernel to handle mixed-categorical variables for Gaussian process
  16. Multidisciplinary design optimization with mixed categorical variables for aircraft design
  17. Correction: Multidisciplinary design optimization with mixed categorical variables for aircraft design
  18. A Mixed-Categorical Correlation Kernel for Gaussian Process