{"id":"W2806266970","doi":"10.1115/1.4040485","title":"An Adaptive Aggregation-Based Approach for Expensively Constrained Black-Box Optimization Problems","year":2018,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"CMC Microsystems","keywords":"Computer science; Constraint (computer-aided design); Mathematical optimization; Adaptive sampling; Mathematics","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":[0.001296685,0.0008274008,0.0008897823,0.0005386942,0.0003856534,0.0005867723,0.001012876,0.0006960247,0.001738526],"category_scores_gemma":[0.001970437,0.000521348,0.0008128122,0.0005145905,0.0005325449,0.0006983435,0.001080559,0.001019783,0.0002682364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940396,"about_ca_system_score_gemma":0.0008683189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568432,"about_ca_topic_score_gemma":0.002603556,"domain_scores_codex":[0.9993846,0.0002257157,0.00003327403,0.00008137857,0.0002306081,0.00004429729],"domain_scores_gemma":[0.9991647,0.0004511247,0.00008539284,0.00009584216,0.0001695181,0.0000335124],"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":[0.00004571189,0.00003335638,0.0003519773,0.00005232783,0.00003640912,0.00004278521,0.0000562371,0.9456914,0.004936755,0.008066216,0.0003877792,0.04029894],"study_design_scores_gemma":[0.000003117062,0.00001379057,0.00002706035,0.000001822583,0.000002453503,0.000004264697,0.000002029197,0.9984846,0.0004094476,0.0008614695,0.0001882366,0.000001697396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006644248,0.00005325606,0.9922,0.00002920271,0.000009547494,0.00002115287,0.000009510109,0.0001139591,0.0009193187],"genre_scores_gemma":[0.4343964,0.0001379787,0.5627987,0.0001111187,0.00003670473,0.0002702059,0.0001053949,0.0001234112,0.002020058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002568432,"threshold_uncertainty_score":0.006857574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697842901350394,"score_gpt":0.2853379376940037,"score_spread":0.2383595086804997,"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."}}