Evidence-based robust optimisation of space systems with evidence network models
Filippi, Gianluca and Marchi, Mariapia and Vasile, Massimiliano and Vercesi, Paolo; (2018) Evidence-based robust optimisation of space systems with evidence network models. In: 2018 IEEE Congress on Evolutionary Computation. IEEE, BRA. ISBN 9781509060177 (https://doi.org/10.1109/CEC.2018.8477917)
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Abstract
The paper presents an approach to optimise complex systems in space systems engineering, accounting for epistemic uncertainty. Uncertainty is modelled with Dempster-Shafer theory of Evidence and the space system as a network of connected components. A constrained min-max problem is then solved, with a memetic algorithm, to deliver a robust design point. Starting from this robust design point a sequence of evolutionary optimisation steps are used to reconstruct an approximation of the Belief and Plausibility curves associated to a particular design solution. The constrained min-max approach and the evolutionary reconstruction of the Belief and Plausibility curves are tested on one realistic case study of space systems engineering.
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Item type: Book Section ID code: 64576 Dates: DateEvent4 October 2018Published14 May 2018Accepted27 April 2018SubmittedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and Space
Technology and Innovation Centre > Advanced Engineering and ManufacturingDepositing user: Pure Administrator Date deposited: 22 Jun 2018 11:05 Last modified: 08 Apr 2024 13:46 URI: https://strathprints.strath.ac.uk/id/eprint/64576