All Stories

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