Design Optimization

Edition 2 (2018)

• Chapter 1: Introduction to Optimization-Based Design
• Chapter 2: Modeling Concepts
• Chapter 3: Unconstrained Optimization
• Chapter 4: Derivatives
• Chapter 5: Discrete Variable Optimization
• Chapter 6: Genetic and Evolutionary Optimization
• Chapter 7: Constrained Optimization 1: KKT Conditions
• Chapter 8: Constrained Optimization 2: SQP, IP, and GRG
• Chapter 9: Robust Design
• References

Cite as: Optimization Methods for Engineering Design, Parkinson, A.R., Balling, R., and J.D. Hedengren, Second Edition, Brigham Young University, 2018.

Edition 1 (2013)

• All Chapters: Optimization Methods for Engineering Design
• Chapter 1: Optimization Design Basics
• Chapter 2: Mathematical Modeling
• Chapter 3: Unconstrained Optimization
• Chapter 4: Discrete Optimization
• Chapter 5: Genetic Algorithms
• Chapter 6: Constrained Optimization, Part I
• Chapter 7: Constrained Optimization, Part II
• Chapter 8, Part 1: Robust Optimization
• Chapter 8, Part 2: Interior Point Methods
• Chapter 9: Dynamic Optimization (see additional course material)

Cite as: Optimization Methods for Engineering Design, Parkinson, A.R., Balling, R., and J.D. Hedengren, First Edition, Brigham Young University, 2013.