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Simulation-Driven Design by Knowledge-Based Response Correction Techniques

  • Slawomir Koziel
  • Leifur Leifsson

Table of contents

  1. Front Matter
    Pages i-xi
  2. Slawomir Koziel, Leifur Leifsson
    Pages 1-6
  3. Slawomir Koziel, Leifur Leifsson
    Pages 7-13
  4. Slawomir Koziel, Leifur Leifsson
    Pages 15-29
  5. Slawomir Koziel, Leifur Leifsson
    Pages 31-61
  6. Slawomir Koziel, Leifur Leifsson
    Pages 63-74
  7. Slawomir Koziel, Leifur Leifsson
    Pages 75-98
  8. Slawomir Koziel, Leifur Leifsson
    Pages 99-129
  9. Slawomir Koziel, Leifur Leifsson
    Pages 147-163
  10. Slawomir Koziel, Leifur Leifsson
    Pages 165-191
  11. Slawomir Koziel, Leifur Leifsson
    Pages 211-243
  12. Slawomir Koziel, Leifur Leifsson
    Pages 245-247
  13. Back Matter
    Pages 249-262

About this book

Introduction

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 as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient.

The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.

Keywords

simulation-based optimization computer simulation multi-fidelity optimization simulation-driven design numerical optimization surrogate modeling response correction techniques parametric response correction adaptively adjusted design specifications variable-fidelity models

Authors and affiliations

  • Slawomir Koziel
    • 1
  • Leifur Leifsson
    • 2
  1. 1.Eng. Optimization & Modeling CenterReykjavik UniversityReykjavikIceland
  2. 2.College of EngineeringIowa State UniversityAmesUSA

Bibliographic information