{"id":"W2882970722","doi":"10.1007/s40092-018-0282-6","title":"An improved particle swarm optimization with a new swap operator for team formation problem","year":2018,"lang":"en","type":"article","venue":"Journal of industrial engineering international","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle swarm optimization; Swap (finance); Mathematical optimization; Computer science; Multi-swarm optimization; Operator (biology); Benchmark (surveying); Swarm intelligence; Metaheuristic; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006464006,0.0001141689,0.0001506121,0.0002282783,0.00006180198,0.0003812036,0.0006932369,0.00007580181,0.00004263997],"category_scores_gemma":[0.0004761494,0.00009316286,0.00004661147,0.0003146173,0.00001837204,0.001802226,0.00004470047,0.0001889255,0.000002870693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474649,"about_ca_system_score_gemma":0.0003751031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006726244,"about_ca_topic_score_gemma":0.000001207804,"domain_scores_codex":[0.998657,0.00002455129,0.0004993454,0.0001480289,0.0004791942,0.0001919181],"domain_scores_gemma":[0.9980463,0.00007228152,0.0002848873,0.0001633204,0.001227029,0.0002061288],"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":[0.0001608306,0.00008467986,0.00005380025,0.000004456561,0.00007145831,0.000001888459,0.0002653011,0.9847857,0.002176755,0.001732034,0.00143459,0.009228462],"study_design_scores_gemma":[0.002280573,0.0009665077,0.00001344957,0.00004585195,0.000009189454,0.00006897603,0.00001577304,0.9802307,0.0140861,0.00002977275,0.002145196,0.0001078849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003711614,0.000006305635,0.9941586,0.0008548604,0.0008854034,0.0002701032,0.000004294132,0.00004206464,0.00006680454],"genre_scores_gemma":[0.1573623,0.000004677681,0.8401557,0.00005622102,0.002239893,0.0000141276,0.000008634571,0.00001940859,0.0001389962],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1540028,"threshold_uncertainty_score":0.3799071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977743464231963,"score_gpt":0.2796475117979031,"score_spread":0.2498700771555835,"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."}}