{"id":"W2561899334","doi":"10.1007/s00500-016-2466-6","title":"Incremental cooperative coevolution for large-scale global optimization","year":2016,"lang":"en","type":"article","venue":"Soft Computing","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sensitivity (control systems); Coevolution; Global optimization; Computer science; Mathematical optimization; Convergence (economics); Algorithm; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007620224,0.0001391827,0.0001629352,0.00006832999,0.0003809552,0.000165093,0.000536478,0.00006045463,0.00004889763],"category_scores_gemma":[0.0004499532,0.000109193,0.00005685439,0.0004909531,0.00004173475,0.0004314466,0.0003966902,0.00005418594,0.00004304932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460483,"about_ca_system_score_gemma":0.0001373082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005751514,"about_ca_topic_score_gemma":0.000003837425,"domain_scores_codex":[0.9982697,0.0001388903,0.000308598,0.0004634238,0.0003730247,0.0004463917],"domain_scores_gemma":[0.9986928,0.0002801247,0.0001200706,0.0003039701,0.0004844776,0.000118629],"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":[0.00008565832,0.000537795,0.007091336,0.00007742421,0.0001376856,0.000009858921,0.001408397,0.5984008,0.001141367,0.1468622,0.01078453,0.233463],"study_design_scores_gemma":[0.001114381,0.00008121182,0.0003615777,0.00003120076,0.000003865687,0.000007157366,0.00003416681,0.996789,0.0003281778,0.0003866513,0.0007061251,0.0001565112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007957509,0.00003794932,0.9966875,0.0007993911,0.0004253883,0.0004402361,0.00003709772,0.0002379721,0.0005387001],"genre_scores_gemma":[0.2811647,0.000004897292,0.7183202,0.0001602655,0.0001464073,0.00001480122,0.00001414699,0.0000103896,0.0001642167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3983882,"threshold_uncertainty_score":0.4452761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927053577770103,"score_gpt":0.3013290170211296,"score_spread":0.2820584812434286,"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."}}