{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000430632,0.0006657483,0.000845961,0.0005403318,0.0003885166,0.0008681625,0.001016975,0.0009843961,0.005864182],"category_scores_gemma":[0.001309954,0.0003227493,0.0008412336,0.0007044338,0.000523162,0.0006722654,0.001076907,0.0009662009,0.001065691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006838119,"about_ca_system_score_gemma":0.0006403283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879665,"about_ca_topic_score_gemma":0.002355873,"domain_scores_codex":[0.9997668,0.00005762712,0.00001181969,0.00003797484,0.00009781925,0.00002798971],"domain_scores_gemma":[0.9996942,0.000157739,0.0000313094,0.00002713181,0.00007006478,0.00001945743],"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":[0.0000635373,0.00005085107,0.001423186,0.0002877266,0.0001107646,0.0001752452,0.0001251671,0.7617879,0.007145436,0.1237177,0.005542494,0.09956989],"study_design_scores_gemma":[0.00001245817,0.00002832804,0.0001432229,0.00001245045,0.00001221381,0.00004924442,0.000007561542,0.9818254,0.0006388301,0.008519367,0.008743313,0.000007644708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01330476,0.001770367,0.9539486,0.0003528925,0.0002448285,0.00009470827,0.0002057016,0.0003300062,0.02974812],"genre_scores_gemma":[0.5182096,0.003370826,0.4377492,0.0005939092,0.0001324357,0.000696253,0.0007669301,0.0002700932,0.0382106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005864182,"threshold_uncertainty_score":0.01961762,"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."}}