All Stories

  1. Corrigendum to “Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations” [Aerospace Science and Technology, Volume 176 Part A, (2026), 122091]
  2. Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making
  3. Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations
  4. Modeling hierarchical spaces: a review and unified framework for surrogate-based architecture design
  5. Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
  6. Energy-aware frugal Bayesian optimization
  7. A distance for mixed-variable and hierarchical domains with meta variables
  8. SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
  9. High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
  10. System architecture optimization strategies: dealing with expensive hierarchical problems
  11. Explainability and Interpretability of an Ensemble Multi-agent System for Supervised Learning
  12. Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints
  13. High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
  14. High-dimensional multidisciplinary design optimization for aircraft eco-design
  15. SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes
  16. A Graph-Structured Distance for Mixed-Variable Domains with Meta Variables
  17. A mixed-categorical correlation kernel for Gaussian process
  18. High-dimensional efficient global optimization using both random and supervised embeddings
  19. Infill criterion for constrained, multi-objective black-box functions with Bayesian optimization
  20. A general square exponential kernel to handle mixed-categorical variables for Gaussian process
  21. Multidisciplinary design optimization with mixed categorical variables for aircraft design
  22. Correction: Multidisciplinary design optimization with mixed categorical variables for aircraft design
  23. A Mixed-Categorical Correlation Kernel for Gaussian Process
  24. High dimensional multidisciplinary design optimization for eco-design aircraft
  25. Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis