Published February 3, 2022 | Version V0
Dataset Open

GECCO2022 Automated Algorithm Selection for Radar Network Configuration

Authors/Creators

  • 1. Thales Research & Technology, École Polytechnique, Institut Polytechnique de Paris
  • 2. CSB lab., Institut Pasteur
  • 3. Thales Land & Air Systems
  • 4. Thales Research & Technology
  • 5. Sorbonne Université, CNRS, LIP6
  • 6. Laboratoire d'Informatique (LIX), CNRS, École Polytechnique, Institut Polytechnique de Paris

Description

This upload is a dataset companion to a paper in the Real World Application track of the GECCO 2022 conference.

The dataset includes a binary container for the objective function used in the paper as well as the corresponding experimental logs.

Files

GECCO2022_RadarNetworks.zip

Files (839.3 MB)

Name Size Download all
md5:72e2a26af7a7d2e5693989f1f800f273
839.3 MB Preview Download