Machine learning‐powered feasible path framework with adaptive sampling for black‐box optimization

Documenti analoghi

• A surrogate‐based framework for feasibility‐driven optimization of expensive simulations
  di: Huayu Tian, et al.
  Pubblicazione: (2024)
• Adaptive sampling Bayesian algorithm for constrained black‐box optimization problems
  di: Shuyuan Fan, et al.
  Pubblicazione: (2025)
• An auto‐configurable machine learning framework to optimize and predict catalysts for CO2 to light olefins process
  di: Qingchun Yang, et al.
  Pubblicazione: (2024)
• A trust‐region funnel algorithm for gray‐box optimization
  di: Gul Hameed, et al.
  Pubblicazione: (2026)
• Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
  di: Gul Hameed, et al.
  Pubblicazione: (2026)