EGU21-1250
https://doi.org/10.5194/egusphere-egu21-1250
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Improved VLBI scheduling through evolutionary strategies

Matthias Schartner1, Christian Plötz2, and Benedikt Soja1
Matthias Schartner et al.
  • 1ETH Zürich, Institute of Geodesy and Photogrammetry, Dept. of Civil, Environmental and Geomatic Engineering, Zürich, Switzerland (mschartner@ethz.ch)
  • 2Bundesamt für Kartographie und Geodäsie (BKG), Germany

Since mid-2020, various Very Long Baseline Interferometry (VLBI) observation programs organized by the International VLBI Service for Geodesy and Astrometry (IVS) are scheduled using a new algorithm inspired by evolutionary processes based on selection, crossover and mutation. It mimics the biological concept "survival of the fittest" to iteratively explore the scheduling parameter space looking for the best solution.

In this work, we will present the general workflow of the algorithm as well as discuss its strengths and potential weaknesses. Moreover, we will highlight how the improved scheduling affects the precision of geodetic parameters. In the case of difficult-to-schedule OHG sessions, an improvement in the precision of the geodetic parameters of up to 15% could be identified based on Monte-Carlo simulations, as well as an increase in the number of observations of up to 10% compared to classical scheduling approaches.

How to cite: Schartner, M., Plötz, C., and Soja, B.: Improved VLBI scheduling through evolutionary strategies, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-1250, https://doi.org/10.5194/egusphere-egu21-1250, 2021.

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