{"id":"W4387005180","doi":"10.1109/cec53210.2023.10254079","title":"Block Differential Evolution","year":2023,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Ontario Tech University","funders":"","keywords":"Computer science; Blocking (statistics); Benchmark (surveying); Block (permutation group theory); Dimension (graph theory); Mathematical optimization; Optimization problem; Differential evolution; Crossover; Convergence (economics); Heuristic; Algorithm; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001691817,0.00005094519,0.00005956712,0.0001924952,0.00007907437,0.0001165017,0.0004948947,0.00002530651,0.0002482861],"category_scores_gemma":[0.0001021491,0.00004311743,0.00002647229,0.001020051,0.00001709366,0.0001514275,0.0003035114,0.00005786349,0.002375133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000242269,"about_ca_system_score_gemma":0.00004238636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001089201,"about_ca_topic_score_gemma":0.000001026216,"domain_scores_codex":[0.9990543,0.00004892708,0.0001067188,0.0002060183,0.0003716588,0.0002124161],"domain_scores_gemma":[0.9994314,0.00005982569,0.00001609035,0.0003357355,0.00007969173,0.00007731217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003520015,0.00009508379,0.0005534245,0.00001765255,0.00003021261,0.00003897535,0.0001810833,0.005890214,0.002001249,0.8658641,0.07940547,0.04591902],"study_design_scores_gemma":[0.0001214689,0.00001319038,0.0043859,0.00000113429,7.19899e-7,0.00000288663,0.000004333486,0.9914064,0.0003338105,0.002180125,0.001491816,0.00005825257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001701507,0.000003940217,0.9880576,0.0009741976,0.0003448924,0.00007573439,6.112533e-7,0.0006146025,0.008226922],"genre_scores_gemma":[0.8491121,0.00001692036,0.110929,0.00007479059,0.0001417653,0.00002383744,0.000007607045,0.00001106202,0.03968296],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9855161,"threshold_uncertainty_score":0.9984016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505991701305484,"score_gpt":0.285770877123561,"score_spread":0.2607109601105062,"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."}}