{"id":"W2051542317","doi":"10.5430/air.v1n2p149","title":"Fuzzy adaptive catfish particle swarm optimization","year":2012,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Catfish; Particle swarm optimization; Benchmark (surveying); Fuzzy logic; Inertia; Swarm intelligence; Multi-swarm optimization; Swarm behaviour; Mathematical optimization; Computer science; Artificial intelligence; Mathematics; Fish <Actinopterygii>; Biology; Physics; Fishery; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006381259,0.0005331771,0.0006648201,0.000471934,0.0004051686,0.0007809876,0.0010116,0.0009173016,0.001832028],"category_scores_gemma":[0.00116887,0.0002631244,0.0006477751,0.0004535885,0.0004054277,0.0005654845,0.0006813383,0.0006049466,0.0002213672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488315,"about_ca_system_score_gemma":0.00082385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006126941,"about_ca_topic_score_gemma":0.003904605,"domain_scores_codex":[0.9997779,0.00004892484,0.0000146547,0.0000444555,0.00009254698,0.00002145881],"domain_scores_gemma":[0.9996961,0.0001056339,0.00003626174,0.00002831607,0.0001183054,0.00001531436],"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":[0.0001207261,0.00005127359,0.001520998,0.00015755,0.00007938001,0.0001423084,0.00008047573,0.874859,0.008511514,0.01332264,0.002077112,0.09907687],"study_design_scores_gemma":[0.00001833226,0.00002720613,0.0002039487,0.000005529111,0.000006529832,0.00002146119,0.000006138259,0.997175,0.0006518443,0.0008976306,0.0009810636,0.000005248139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07953824,0.00097702,0.9055746,0.0003788573,0.000185098,0.0001253693,0.00007635743,0.000364656,0.01277983],"genre_scores_gemma":[0.7404367,0.0006450032,0.2487524,0.0001860128,0.00005187347,0.0002470107,0.0001826099,0.00005002887,0.009448308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006126941,"threshold_uncertainty_score":0.01218253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2825149335201376,"score_gpt":0.4290115289024241,"score_spread":0.1464965953822865,"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."}}