{"id":"W4409084041","doi":"10.18280/mmep.120329","title":"Fast Slow Optimization: An Adaptive Stochastic Optimization that Employs Both Short and Long Step Size Searches","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universitas Telkom","keywords":"Stochastic optimization; Mathematical optimization; Computer science; Adaptive optimization; 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":[0.0006261342,0.0002528937,0.0003224134,0.0002184381,0.0001826933,0.0005133724,0.0003404424,0.0001130743,0.00001852784],"category_scores_gemma":[0.0001515712,0.0002370051,0.00003251844,0.0004428814,0.00007461945,0.000504479,0.0002383205,0.0002554952,0.000001776845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004129631,"about_ca_system_score_gemma":0.00004982103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004093557,"about_ca_topic_score_gemma":2.208785e-7,"domain_scores_codex":[0.9982639,0.00006232633,0.0003413225,0.0005398287,0.0003988551,0.0003937801],"domain_scores_gemma":[0.9987258,0.000472079,0.00003684534,0.0003900563,0.0001379311,0.0002372977],"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":[0.000004766223,0.00005345932,0.000005453102,0.0002261454,0.00003591427,0.000002412076,0.0003208402,0.982296,0.000003411182,0.01562956,0.000004507996,0.001417479],"study_design_scores_gemma":[0.0002139527,0.00007457461,0.000009798614,0.0002529939,0.00002256013,0.00001373167,0.00002663965,0.997381,0.00001134091,0.001765624,0.000002826342,0.0002249044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003029632,0.0002813028,0.9983036,0.000173048,0.00006461606,0.0004446682,0.000002509819,0.0002817402,0.000145578],"genre_scores_gemma":[0.09300248,0.0000977214,0.9064258,0.00002469115,0.00002196695,0.00006580247,0.00000506815,0.00002943796,0.0003269778],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09269951,"threshold_uncertainty_score":0.9664787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504432079004283,"score_gpt":0.2588412497323053,"score_spread":0.2137969289422624,"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."}}