{"id":"W3083147274","doi":"10.1137/21m1420915","title":"Escaping Unknown Discontinuous Regions in Blackbox Optimization","year":2022,"lang":"en","type":"article","venue":"SIAM Journal on Optimization","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","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); Variable (mathematics); Nonlinear system; Computer science; Convergence (economics); Space (punctuation); Key (lock); Mathematics; Penalty method; Series (stratigraphy); Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194618,0.0006297877,0.00104468,0.0004726805,0.0003418793,0.0007007625,0.0006955691,0.0009582406,0.001423767],"category_scores_gemma":[0.003008802,0.0005365819,0.000577309,0.000240908,0.001208034,0.0005987019,0.001428321,0.0009059276,0.0002269973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004473464,"about_ca_system_score_gemma":0.0007227279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099246,"about_ca_topic_score_gemma":0.001475729,"domain_scores_codex":[0.9997428,0.0001250027,0.000009826762,0.00002959346,0.00006404982,0.00002877183],"domain_scores_gemma":[0.998784,0.0009440225,0.00009063778,0.00007294364,0.00006570028,0.00004266475],"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":[0.00005454002,0.00001702946,0.0003366039,0.00004717903,0.00001774635,0.00004121846,0.00004190687,0.9814163,0.001323217,0.006620663,0.000154837,0.009928656],"study_design_scores_gemma":[0.000006962363,0.00001391666,0.00002352901,0.000005908217,0.000001909898,0.000004119466,0.000004466447,0.9975777,0.0003499136,0.001861565,0.0001481513,0.000001828098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.047703,0.0002315697,0.9494162,0.0001189972,0.00002387991,0.00004168387,0.00002157375,0.000270657,0.002172328],"genre_scores_gemma":[0.6755293,0.0002324448,0.3205184,0.0001365033,0.00002332768,0.000257734,0.00007455466,0.0001576386,0.003070015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002099246,"threshold_uncertainty_score":0.006317794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177420138452229,"score_gpt":0.2001085071382088,"score_spread":0.1939310869997566,"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."}}