In-flight Icing: Modeling, Prediction, and Uncertainty
In-flight Icing consists of the accumulation of ice over the surfaces of flying crafts, namely aircraft and
...Risk Measures in the Context of Robust and Reliability Based Optimization
The base concepts of robust optimization are described and detailed in this chapter. In particular, the approach
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Simulation Tools for System Analysis and Verification
Sequential Parameter Optimization for Mixed-Discrete Problems
Object Oriented Architecture of Simulators and System Models
Parameter Control in Evolutionary Optimisation
Finding the global optimum of a complex function is one of the long-standing goals of applied mathematics and
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Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing
Introduction to Imprecise Probabilities
Since uncertainty is persistent in engineering analyses, this chapter aimed to introduce methods to describe and
...Introduction to Evidence-Based Robust Optimisation
This chapter introduces the concept of Evidence-Based Robust Optimisation (EBRO) and a few computational methods
...Uncertainty Quantification in Lasso-Type Regularization Problems
Regularization techniques, which sit at the interface of statistical modeling and machine learning, are often
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Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between
...Consistent Modeling Technology for all Development Phases
An Introduction to Many-Objective Evolutionary Optimization
This chapter describes the differences between single-objective, multi-objective, and many-objective optimization
...An Introduction to Imprecise Markov Chains
This chapter gives a brief introduction to the formulation of optimisation problems and solving algorithms. After
...Introduction to Spectral Methods for Uncertainty Quantification