{"id":"W2114094150","doi":"10.5267/j.ijiec.2010.02.005","title":"A particle swarm approach to solve environmental/economic dispatch problem","year":2010,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Power System Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Economic dispatch; Mathematical optimization; Computer science; Engineering; Mathematics; Physics; Electric power system","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":[0.0002063231,0.0001346722,0.0001640496,0.0002428267,0.00002335597,0.00009766591,0.000342213,0.00009112291,0.00002070085],"category_scores_gemma":[0.00005321249,0.000144996,0.00007878272,0.0001240258,0.00001007799,0.0002529471,0.00003013713,0.0004040554,0.00003720394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002438977,"about_ca_system_score_gemma":0.00005360346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005825939,"about_ca_topic_score_gemma":0.000001718775,"domain_scores_codex":[0.9989364,0.000007602259,0.0005206488,0.0001023223,0.0002615326,0.0001714904],"domain_scores_gemma":[0.999514,0.00007714266,0.0001051863,0.00009176285,0.00005967103,0.0001522514],"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":[0.000007653875,0.00004574672,0.0003424072,0.000002562151,0.0001286602,0.000004000181,0.0002845646,0.9901145,0.005070559,0.0007110669,0.0007780076,0.002510267],"study_design_scores_gemma":[0.0009856147,0.00006040286,0.0004515453,0.00004289296,0.00002537678,0.0001964781,0.00004033487,0.9891131,0.004629487,0.00005706261,0.004175508,0.0002222124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3761899,0.00003120313,0.6186662,0.000255913,0.004106497,0.0001964182,0.00002254267,0.0001007317,0.0004304843],"genre_scores_gemma":[0.9669822,0.000005748072,0.03203819,0.00001433491,0.0008873363,0.00001279828,0.00001405769,0.0000331833,0.00001218288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5907922,"threshold_uncertainty_score":0.5912763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064840458373698,"score_gpt":0.2078199654378175,"score_spread":0.1971715608540805,"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."}}