Multi-objective Bayesian optimization accelerated design of TPMS structures
Triply periodic minimal surface (TPMS) is an effective filling architecture in porous ceramic
artificial bone for its great bionic characteristics and self-supporting properties. However …
artificial bone for its great bionic characteristics and self-supporting properties. However …
Metamodeling techniques for CPU-intensive simulation-based design optimization: a survey
H Khatouri, T Benamara, P Breitkopf… - Advanced Modeling and …, 2022 - Springer
In design optimization of complex systems, the surrogate model approach relying on
progressively enriched Design of Experiments (DOE) avoids efficiency problems …
progressively enriched Design of Experiments (DOE) avoids efficiency problems …
Observer-based control for a new stochastic maximum power point tracking for photovoltaic systems with networked control system
This study discusses the new stochastic maximum power point tracking control approach
toward the photovoltaic cells (PCs). A PC generator is isolated from the grid, resulting in a …
toward the photovoltaic cells (PCs). A PC generator is isolated from the grid, resulting in a …
Efficient structural optimisation of composite materials aircraft wings
Contemporary computational analysis of modern aircraft structures demands rapid and
efficient, yet accurate enough tools for the conceptual and preliminary design stages. On that …
efficient, yet accurate enough tools for the conceptual and preliminary design stages. On that …
[HTML][HTML] Robust multidisciplinary analysis and optimization for conceptual design of flexible aircraft under dynamic aeroelastic constraints
We present a computational framework for robust multidisciplinary design and optimization
of flexible aircraft, suited for the conceptual design exploration phase. Constraints are …
of flexible aircraft, suited for the conceptual design exploration phase. Constraints are …
Bayesian optimization with hidden constraints for aircraft design
A challenge in aircraft design optimization is the presence of non-computable, so-called
hidden, constraints that do not return a value in certain regions of the design space. In this …
hidden, constraints that do not return a value in certain regions of the design space. In this …
Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning
A fluidized bed is a next-generation explosive waste treatment reactor that is safer and emits
less pollutants (eg, NOx) than a rotary kiln. When a fluidized bed reactor is used to treat …
less pollutants (eg, NOx) than a rotary kiln. When a fluidized bed reactor is used to treat …
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
View Video Presentation: https://doi. org/10.2514/6.2022-0082. vid Multidisciplinary design
optimization methods aim at adapting numerical optimization techniques to the design of …
optimization methods aim at adapting numerical optimization techniques to the design of …
Multi-fidelity Bayesian Optimization in Engineering Design
Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …
(BO), MF BO has found a niche in solving expensive engineering design optimization …
No-regret constrained Bayesian optimization of noisy and expensive hybrid models using differentiable quantile function approximations
This paper investigates the problem of efficient constrained global optimization of hybrid
models that are a composition of a known white-box function and an expensive multi-output …
models that are a composition of a known white-box function and an expensive multi-output …