Titlebook: Optimization Under Uncertainty with Applications to Aerospace Engineering; Massimiliano Vasile Book 2021 Springer Nature Switzerland AG 20

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Fundamentals of Filtering,ay life. This task is complex because uncertainties typically affect the dynamical behaviour as well as the available observations of the (hidden) state. The goal of this chapter is to provide a comprehensive overview, from the probabilistic problem statement to methods for its solution. In particul

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Introduction to Optimisation,problems, such as continuous/discrete, local/global and single-/multi-objective, and introducing some of the useful terminology, the chapter is split in two main parts: (1) formulations and algorithms for continuous problems, including optimal control, and (2) formulations and algorithms for integer

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An Introduction to Many-Objective Evolutionary Optimization,ve optimization, often the objectives are conflicting; hence there is no single best point, and a trade-off between the objectives must be considered. Many-objective optimization problems can be more difficult than multi-objective problems mainly because of the curse of dimensionality and because it

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Response Surface Methodology,variable. This chapter introduces the methodology and its importance for engineering design optimisation. The basic steps to build RSMs and validate the model accuracy are explained. An overview of three classical methods (Least Squares, Radial Basis Functions, and Kriging) is provided. A simple win

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