{"id":"W2359483975","doi":"","title":"The Performance Analysis of Particle Swarm Optimization for Solving Continuous Optimization Problem","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multi-swarm optimization; Particle swarm optimization; Benchmark (surveying); Mathematical optimization; Computer science; Metaheuristic; Meta-optimization; Derivative-free optimization; Imperialist competitive algorithm; Swarm behaviour; Optimization problem; Population; Function (biology); Algorithm; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004812802,0.0001403233,0.0002540877,0.0002183507,0.0008247254,0.0001554049,0.0009960626,0.00005348309,0.00001155354],"category_scores_gemma":[0.00000897428,0.0001182751,0.0001326318,0.002334601,0.0001287248,0.0003183274,0.000205782,0.00008267166,0.000006339234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004814863,"about_ca_system_score_gemma":0.0001091377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007105793,"about_ca_topic_score_gemma":0.000001589784,"domain_scores_codex":[0.9983425,0.00005226675,0.0005661197,0.0004191783,0.0002937297,0.0003262112],"domain_scores_gemma":[0.9978209,0.0003730598,0.000279417,0.0006436396,0.0007960104,0.0000869881],"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":[0.000003884998,0.00008610226,0.0003278013,0.00001482426,0.0001442986,1.428667e-7,0.0002544086,0.9727205,0.000139819,0.003734072,0.0002557538,0.02231837],"study_design_scores_gemma":[0.000284442,0.00003792351,0.0003040652,0.000004238882,0.0000752072,0.000005028263,0.000008785334,0.9917173,0.002671426,0.00002612666,0.004739008,0.0001264963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001254192,0.0001153688,0.9966396,0.0004371727,0.00001909122,0.001308574,0.00001106792,0.000118733,0.00009619978],"genre_scores_gemma":[0.0258265,0.0002381991,0.9725605,0.00006764751,0.00004346194,0.0008593592,0.00005999524,0.00001513157,0.0003291683],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02457231,"threshold_uncertainty_score":0.6343204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764427329822725,"score_gpt":0.2615115871013189,"score_spread":0.2438673138030916,"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."}}