{"id":"W2039139716","doi":"10.1145/1830483.1830527","title":"A hierarchical cooperative evolutionary algorithm","year":2010,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evolutionary algorithm; Computer science; Selection (genetic algorithm); Simple (philosophy); Evolutionary computation; String (physics); Interference (communication); Algorithm; Theoretical computer science; Mathematical optimization; Artificial intelligence; 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":[0.000826978,0.0005417626,0.0006187969,0.0008579044,0.0006991726,0.0007416772,0.001720164,0.001119256,0.005421346],"category_scores_gemma":[0.002289763,0.0003014386,0.0006313106,0.0007987079,0.0005970949,0.0009980948,0.002038122,0.0007990873,0.001136173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006231513,"about_ca_system_score_gemma":0.001145592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948513,"about_ca_topic_score_gemma":0.003091577,"domain_scores_codex":[0.9994001,0.0001599295,0.0000258407,0.0001185817,0.0002098977,0.00008551615],"domain_scores_gemma":[0.9994932,0.000187282,0.00004200234,0.0001075993,0.0001215024,0.00004821723],"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":[0.0001000836,0.000135959,0.001250401,0.0001606078,0.00009770402,0.0001830972,0.0003461076,0.5653673,0.01719134,0.1035695,0.007485825,0.304112],"study_design_scores_gemma":[0.00003176352,0.00004958564,0.0001651931,0.00000976457,0.00001742881,0.00005191479,0.00002074401,0.982581,0.001196572,0.009580602,0.006285459,0.00001007368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01076198,0.0001814946,0.9791909,0.0001273136,0.00004139635,0.0001013272,0.00004267035,0.0004975834,0.009055377],"genre_scores_gemma":[0.2741672,0.0002318714,0.7147549,0.000220208,0.0000415598,0.0004272724,0.0002186801,0.0001204611,0.009817758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005421346,"threshold_uncertainty_score":0.0181362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415007931005871,"score_gpt":0.2829451829074897,"score_spread":0.268795103597431,"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."}}