Evidence-based robust optimisation of space systems with evidence network models

Research output: ResearchConference contribution

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.
Original languageEnglish
Title of host publicationIEEE world congress on computational intelligence
Place of PublicationPiscataway, N.J.
Number of pages8
StateAccepted/In press - 14 May 2018

    Research areas

  • space system engineering, evidence network models, Belief functions

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