"Improving the Relevance of Artificial Instances for Curriculum-Based ..."

Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci (2023)

> Home

Details and statistics

DOI: 10.1145/3583133.3590690

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/gecco/FeutrierVK23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/gecco/FeutrierVK23
Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci:
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. GECCO Companion 2023: 203-206

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.