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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Introduction
- Simulation-Driven Design
- Fundamentals of Numerical Optimization
- Introduction to Surrogate-Based Modeling and Surrogate-Based Optimization
- Design Optimization Using Response Correction Techniques
- Surrogate-Based Optimization Using Parametric Response Correction
- Non-Parametric Response Correction Techniques
- Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specification
- Surrogate-Assisted Design Optimization Using Response Features
- Enhancing Response Correction Techniques by Adjoint Sensitivity
- Multi-Objective Optimization Using Variable-Fidelity Models and Response Correction
- Physics-Base Surrogate Models Using Response Correction
- Summary and Discussion
- References. .