{"id":"W4281736062","doi":"","title":"Escaping unknown discontinuous regions in blackbox optimization","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Classification of discontinuities; Mathematical optimization; Optimization problem; Constraint (computer-aided design); Nonlinear system; Benchmark (surveying); Computer science; Series (stratigraphy); Space (punctuation); Penalty method; Convergence (economics); Feasible region; Key (lock); Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116615,0.001177341,0.002289972,0.000836901,0.0006242302,0.00167392,0.001390948,0.002643107,0.004472866],"category_scores_gemma":[0.009648686,0.0009533619,0.0007757628,0.0004727988,0.001947552,0.001268281,0.003060098,0.001987944,0.0004021138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009173532,"about_ca_system_score_gemma":0.0007882584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004102278,"about_ca_topic_score_gemma":0.002172611,"domain_scores_codex":[0.9994815,0.000297621,0.00001329249,0.00005996467,0.0000798979,0.00006764932],"domain_scores_gemma":[0.9949477,0.004202887,0.0002518356,0.0001206921,0.0002010348,0.0002759016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001229417,0.00003127966,0.0002082462,0.00007376335,0.00003592878,0.00004562575,0.00003452526,0.9823326,0.0004714526,0.01154985,0.0006501552,0.00444358],"study_design_scores_gemma":[0.00000657823,0.0000121465,0.00001406877,0.000004886535,0.000002260178,0.000002337151,0.000003576853,0.996928,0.00005636974,0.00289525,0.00007313726,0.000001343376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09905673,0.001125194,0.8869973,0.0008795823,0.0002039145,0.00009306907,0.00009058858,0.0004294717,0.01112403],"genre_scores_gemma":[0.8922102,0.0004902894,0.09225667,0.0004653372,0.000141658,0.000263538,0.0001467682,0.0004131246,0.01361237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004472866,"threshold_uncertainty_score":0.01496315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005967160042736057,"score_gpt":0.1854057089834891,"score_spread":0.1794385489407531,"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."}}