{"id":"W3083305467","doi":"10.1109/cec48606.2020.9185801","title":"Particle Swarm optimization with pbest Perturbations","year":2020,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Particle swarm optimization; Multi-swarm optimization; Metaheuristic; Swarm behaviour; Computer science; Mathematical optimization; Premature convergence; Stall (fluid mechanics); Engineering; Mathematics; Algorithm; Aerospace engineering","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":[0.0007475199,0.00116604,0.00122295,0.0005173713,0.0005865752,0.0009550251,0.001070005,0.001272196,0.002237545],"category_scores_gemma":[0.002884952,0.0004279854,0.0005652043,0.0007396244,0.000745546,0.0007667004,0.001214155,0.001560947,0.00109576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425814,"about_ca_system_score_gemma":0.001013782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551238,"about_ca_topic_score_gemma":0.002324048,"domain_scores_codex":[0.9994104,0.0002245853,0.0000295371,0.00009214482,0.0001905383,0.00005284815],"domain_scores_gemma":[0.9994936,0.0002294724,0.00006087545,0.00007415042,0.0001147213,0.00002716359],"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":[0.0001290986,0.00007191958,0.0005002486,0.000127573,0.00007879965,0.0001131564,0.00007193597,0.9203623,0.002726445,0.02028435,0.004395565,0.05113867],"study_design_scores_gemma":[0.00003484852,0.00006142099,0.00009015293,0.00001190371,0.00001258621,0.00002322435,0.00000800603,0.9891916,0.001110723,0.005458769,0.003987934,0.000008716851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01381578,0.0009515928,0.9715517,0.0003540335,0.0003034265,0.0001864603,0.00009366059,0.001247501,0.01149581],"genre_scores_gemma":[0.4790235,0.00110255,0.5012919,0.0004913096,0.0002184128,0.001001,0.0002987476,0.0003638279,0.01620874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003551238,"threshold_uncertainty_score":0.00748539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605183170860734,"score_gpt":0.2556804635154795,"score_spread":0.2196286318068721,"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."}}