{"id":"W4391308277","doi":"10.1109/smc53992.2023.10394620","title":"Ranking Center-based NSGA-II","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Ontario Tech University","funders":"","keywords":"Benchmark (surveying); Mathematical optimization; Cluster analysis; Multi-objective optimization; Computer science; Ranking (information retrieval); Evolutionary algorithm; Evolutionary computation; Sampling (signal processing); Pareto principle; Computation; Population; Optimization problem; Set (abstract data type); Algorithm; Mathematics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009687514,0.001357986,0.001217475,0.0009061283,0.0007099803,0.0008209285,0.001395381,0.0006976836,0.003512121],"category_scores_gemma":[0.002007618,0.0002816732,0.0006885441,0.0007750036,0.0004495101,0.000563918,0.0007408913,0.0006642026,0.0006413709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268123,"about_ca_system_score_gemma":0.002085995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048833,"about_ca_topic_score_gemma":0.009976089,"domain_scores_codex":[0.9990951,0.0003323419,0.00003974095,0.000107416,0.0002987196,0.0001267163],"domain_scores_gemma":[0.9992829,0.0001637813,0.00006149032,0.00005254938,0.000381581,0.00005772786],"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":[0.0001346516,0.00008141152,0.001135033,0.0001164307,0.00006912259,0.00005891037,0.00005370642,0.9048276,0.002631025,0.007924619,0.004700324,0.07826719],"study_design_scores_gemma":[0.00002316269,0.00005764058,0.0002225915,0.000009375,0.00001332179,0.00001711043,0.00001751267,0.9954833,0.001137568,0.0015486,0.001459721,0.00001020595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09341525,0.000831651,0.8871284,0.0003113105,0.0002094523,0.0004640885,0.0002852471,0.001238874,0.01611576],"genre_scores_gemma":[0.7968519,0.0004487227,0.192323,0.0002866775,0.00004402635,0.0006860407,0.0008405006,0.000157817,0.008361438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01048833,"threshold_uncertainty_score":0.02085459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942478080339879,"score_gpt":0.2729478642122388,"score_spread":0.25352308340884,"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."}}