Simulation-Driven Design by Knowledge-Based Response Correction Techniques

• Κύριοι συγγραφείς: Koziel, Slawomir (Συγγραφέας), Leifsson, Leifur (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Mathematics.; Computer mathematics.; Mathematical models.; Mathematical optimization.; Discrete Optimization.; Continuous Optimization.; Mathematical Modeling and Industrial Mathematics.; Computational Science and Engineering.

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...

Πίνακας περιεχομένων:

• 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. .