{"id":"W2942309913","doi":"10.1051/ro/2019043","title":"A Non-Linear-Threshold-Accepting Function Based Algorithm for the Solution of Economic Dispatch Problem","year":2019,"lang":"en","type":"article","venue":"RAIRO - Operations Research","topic":"Electric Power System Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematical optimization; Economic dispatch; Computer science; Harmony search; Benchmark (surveying); Heuristics; Heuristic; Electric power system; Algorithm; Power (physics); Mathematics","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":[0.001208946,0.0001141323,0.0001555093,0.000213652,0.0002814216,0.00008893626,0.0002132258,0.00009503516,0.0001541454],"category_scores_gemma":[0.00002824331,0.00009664804,0.00006631068,0.0003705758,0.00003409504,0.000276031,0.00003177277,0.0002238778,0.0001501447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890466,"about_ca_system_score_gemma":0.000178882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001489047,"about_ca_topic_score_gemma":0.0001821781,"domain_scores_codex":[0.9987699,0.00005445426,0.0003444859,0.0002178215,0.0002623851,0.0003509592],"domain_scores_gemma":[0.999083,0.000219981,0.00002267276,0.0003623959,0.0002687578,0.0000431831],"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":[0.00001153917,0.00002311607,0.0002288429,0.00008492119,0.00003646386,5.931018e-8,0.0001176416,0.9741707,0.006492202,0.0002187642,0.001292775,0.01732295],"study_design_scores_gemma":[0.0005322413,0.0001401333,0.0002628528,0.00003574411,0.00001039642,8.214149e-7,0.00006870487,0.9937468,0.004323912,0.00001437405,0.0007634997,0.0001005082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02045331,0.0001731492,0.9750417,0.0002172893,0.0003433061,0.002289444,0.00002690859,0.00008720333,0.00136769],"genre_scores_gemma":[0.9684206,0.00003281292,0.02931759,0.000008850231,0.0001778221,0.0007306397,0.0001072499,0.00005160275,0.001152827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9479673,"threshold_uncertainty_score":0.3941193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926980076289461,"score_gpt":0.309141042920805,"score_spread":0.2798712421579104,"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."}}