{"id":"W3083093249","doi":"10.1109/cec48606.2020.9185905","title":"A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms","year":2020,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Swarm intelligence; Population; Benchmark (surveying); Computer science; Particle swarm optimization; Cluster analysis; Metaheuristic; Computational intelligence; Mathematical optimization; Algorithm; Variable (mathematics); Dimension (graph theory); Differential evolution; 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":[0.0003263876,0.0001493667,0.0001940829,0.0001404949,0.0002038423,0.0003182683,0.0006249325,0.00006392269,0.0002525139],"category_scores_gemma":[0.0008865728,0.0001447412,0.00006649835,0.001296686,0.00002001898,0.0004012465,0.00009031615,0.0001039549,0.00002583252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538383,"about_ca_system_score_gemma":0.000731028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004667308,"about_ca_topic_score_gemma":0.00001065398,"domain_scores_codex":[0.9982699,0.00009865993,0.0003814375,0.000540405,0.0004122462,0.0002973165],"domain_scores_gemma":[0.9983988,0.0004700597,0.0001069579,0.0002705469,0.0005322324,0.0002213736],"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":[0.00001062556,0.00002747755,0.00003136477,0.00001971674,0.000009868404,0.00000143687,0.0002029506,0.9799557,0.00002356786,0.006163253,0.0001352541,0.01341877],"study_design_scores_gemma":[0.0002433685,0.0001970817,0.00005300097,0.000006180885,0.000004223494,7.584331e-7,0.0000432972,0.9955149,0.002899409,0.0008108774,0.00005717027,0.0001697032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000009439888,0.00001810868,0.995952,0.001870324,0.0001071009,0.0007616329,0.000008062282,0.0002511659,0.001022226],"genre_scores_gemma":[0.06438223,0.000002460044,0.9340712,0.0007935953,0.00007868679,0.0001060997,0.00003602801,0.00001675536,0.0005128739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06437279,"threshold_uncertainty_score":0.5902376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07282423385889047,"score_gpt":0.3289094427856906,"score_spread":0.2560852089268001,"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."}}