An Efficient Quantile-Based Adaptive Sampling RBDO with Shifting Constraint Strategy
There is an increasing demand for the performance optimization under the reliability constraints in various engineering problems. These problems are commonly known as reliability-based design optimization (RBDO) problems. Among different RBDO frameworks, the decoupled methods are widely accepted for...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2023
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/86447 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: An Efficient Quantile-Based Adaptive Sampling RBDO with Shifting Constraint Strategy
- Application of Metal-Semiconductor-Metal Photodetector in High-Speed Optical Communication Systems
- Predicting Block Time: An Application of Quantile Regression
- A Smart Multi-Criteria Assessment of Housing Energy Efficiency Relevant to Occupants’ Socio–Demographic Characteristics: A Concept Paper
- Efficient Data Collection with an Automated Robotic Helicopter Using Bayesian Adaptive Sampling Algorithms for Control
- Hybrid Schemes for Adaptive Control Strategies
- Innovative Solution for the Legendre Equation: A Gateway to Efficient Laplace Equation Solving