{"id":"W4388667916","doi":"10.1007/s11721-023-00229-0","title":"Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems","year":2023,"lang":"en","type":"article","venue":"Swarm Intelligence","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Particle swarm optimization; Benchmark (surveying); Mathematics; Scaling; Metaheuristic; Decomposition; Mathematical optimization; Variable (mathematics); Combinatorics; Scale (ratio); Algorithm; Physics","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":[0.001072691,0.0002074572,0.0002472147,0.000220659,0.000515031,0.0004347211,0.0004016873,0.00006789145,0.00002866195],"category_scores_gemma":[0.0003813268,0.0001845633,0.00003995304,0.001634636,0.00007652468,0.0008903887,0.0001974011,0.0001323328,0.00002279391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005905642,"about_ca_system_score_gemma":0.00008407583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059526,"about_ca_topic_score_gemma":0.000009302516,"domain_scores_codex":[0.9978373,0.0001595441,0.0004121112,0.0006470446,0.0004254275,0.0005185562],"domain_scores_gemma":[0.9980423,0.0004189719,0.0001405845,0.0003443093,0.0008872718,0.0001665876],"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":[0.00005235944,0.000051356,0.00005854202,0.00004704957,0.00002231663,0.000002884327,0.001415347,0.9918973,0.00006190573,0.003288983,0.00006163924,0.003040265],"study_design_scores_gemma":[0.0007642478,0.0001976174,0.00001500958,0.00007185593,0.00001445337,0.000008088145,0.0002977474,0.9878417,0.01011826,0.000323572,0.0001078335,0.000239649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009693223,0.0001102675,0.996366,0.0006887244,0.0001974661,0.001182447,0.00001050153,0.000358426,0.0001168017],"genre_scores_gemma":[0.113248,0.0004923053,0.8851105,0.000144656,0.0000848219,0.0004388424,0.0001069523,0.00004236456,0.0003315307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1122787,"threshold_uncertainty_score":0.7526273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775602502805102,"score_gpt":0.3114273832526289,"score_spread":0.2836713582245778,"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."}}