Optimization Under Uncertainty with Applications to Aerospace Engineering

1. Front Matter

   Pages i-vi

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2. Introduction to Spectral Methods for Uncertainty Quantification

   • João F. Reis, Giulio Gori, Pietro M. Congedo, Olivier Le Maître

   Pages 1-34

3. Introduction to Imprecise Probabilities

   • Daniel Krpelík, Tathagata Basu

   Pages 35-79

4. Uncertainty Quantification in Lasso-Type Regularization Problems

   • Tathagata Basu, Jochen Einbeck, Matthias C. M. Troffaes

   Pages 81-109

5. Reliability Theory

   • Daniel Krpelík, Frank P. A. Coolen, Louis J. M. Aslett

   Pages 111-140

6. An Introduction to Imprecise Markov Chains

   • Thomas Krak

   Pages 141-179

7. Fundamentals of Filtering

   • Cristian Greco, Massimiliano Vasile

   Pages 181-222

8. Introduction to Optimisation

   • Annalisa Riccardi, Edmondo Minisci, Kerem Akartunali, Cristian Greco, Naomi Rutledge, Alexander Kershaw et al.

   Pages 223-268

9. An Introduction to Many-Objective Evolutionary Optimization

   • Dani Irawan, Boris Naujoks

   Pages 269-305

10. Multilevel Optimisation

    • Margarita Antoniou, Peter Korošec

    Pages 307-331

11. Sequential Parameter Optimization for Mixed-Discrete Problems

    • Lorenzo Gentile, Thomas Bartz-Beielstein, Martin Zaefferer

    Pages 333-355

12. Parameter Control in Evolutionary Optimisation

    • Margarita Antoniou, Rok Hribar, Gregor Papa

    Pages 357-385

13. Response Surface Methodology

    • Péter Zénó Korondi, Mariapia Marchi, Carlo Poloni

    Pages 387-409

14. Risk Measures in the Context of Robust and Reliability Based Optimization

    • Elisa Morales Tirado, Domenico Quagliarella

    Pages 411-427

15. Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization

    • Christian Sabater

    Pages 429-453

16. In-flight Icing: Modeling, Prediction, and Uncertainty

    • B. Arizmendi, M. Morelli, G. Parma, M. Zocca, G. Quaranta, A. Guardone

    Pages 455-506

17. Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing

    • Anabel del Val, Olivier Chazot, Thierry Magin

    Pages 507-539

18. Introduction to Evidence-Based Robust Optimisation

    • Gianluca Filippi, Massimiliano Vasile

    Pages 541-573

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering.


The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.

• Aerospace Engineering
• Bayesian Techniques
• Evidence Theory for Robust Optimization
• Imprecise Markov Chains
• Imprecise Probabilities
• Resilience in Complex Engineering Systems
• Uncertainty Quantification

• University of Strathclyde, Glasgow, UK

  Massimiliano Vasile

Massimiliano Vasile is a Professor of Space Systems Engineering and Director of the Aerospace Centre of Excellence in the Department of Mechanical & Aerospace Engineering at the University of Strathclyde. Previous to this, he was a Senior Lecturer in the Department of Aerospace Engineering and Head of Research for the Space Advanced Research Team at the University of Glasgow. Before starting his academic career in 2004, he was the first member of the European Space Agency (ESA) Advanced Concepts Team (ACT) and initiator of the ACT research stream on global trajectory optimization, mission analysis and biomimicry. His research interests include Computational Optimization, Robust Multi-Disciplinary Design and Optimization Under Uncertainty.


More recently, Professor Vasile has undertaken extensive research on techniques for asteroid manipulation as well as the sustainability of the space environment. His research has been funded by the European Space Agency, EPSRC, the Planetary Society and the European Commission. He was the Lead of the Stardust Marie Curie ITN on debris and asteroid manipulation and is now leading the UTOPIAE (Uncertainty Treatment and Optimization In Aerospace Engineering) Marie Curie ETN on optimization under uncertainty and uncertainty quantification in complex aerospace engineering systems.

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