{"id":"W3047863327","doi":"10.1016/j.ejor.2020.07.063","title":"Machine learning for combinatorial optimization: A methodological tour d'horizon","year":2021,"lang":"en","type":"article","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1336,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Heuristics; Artificial intelligence; Machine learning; Combinatorial optimization; Point (geometry); Task (project management); Optimization problem; Mathematical optimization; Online machine learning; Active learning (machine learning); Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949669187414749,"score_gpt":0.2493383453831598,"score_spread":0.2198416535090123,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}