{"id":"W2884567774","doi":"10.3233/jifs-169765","title":"Intelligent optimization algorithm for global convergence of non-convex functions based on improved fuzzy algorithm","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Convergence (economics); Algorithm; Computer science; Regular polygon; Fuzzy logic; Convex optimization; Optimization algorithm; Mathematical optimization; Mathematics; Artificial intelligence","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":[0.001154655,0.0002886509,0.0006058888,0.0004616997,0.0001972328,0.0001975433,0.0008850938,0.0001536289,0.00007309794],"category_scores_gemma":[0.0001622495,0.0002414896,0.0004737084,0.001190353,0.00009201864,0.0004742182,0.00007436041,0.0001574031,0.00003616671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003306562,"about_ca_system_score_gemma":0.0004323626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006781498,"about_ca_topic_score_gemma":0.000004393085,"domain_scores_codex":[0.9967302,0.000153368,0.001607432,0.0003922025,0.0007919613,0.0003248035],"domain_scores_gemma":[0.9938875,0.0002305806,0.001545129,0.0004802937,0.00359962,0.0002568865],"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":[0.0001249504,0.0007845314,0.0003163579,0.00008968546,0.0005561834,0.000006047082,0.0003356228,0.8949423,0.0001413549,0.005685139,0.00306153,0.09395634],"study_design_scores_gemma":[0.0005188476,0.001300578,0.00006372317,0.0001432259,0.00009814667,0.00002922269,0.000212415,0.9937103,0.001589471,0.0002335488,0.001872644,0.0002278299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004996871,0.00014657,0.9936904,0.0003712748,0.004346258,0.0004954653,0.00006554361,0.00003343145,0.0008011316],"genre_scores_gemma":[0.1852471,0.0001398624,0.8117483,0.0004903094,0.001460771,0.00004775706,0.000048016,0.00003461246,0.0007833088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1851971,"threshold_uncertainty_score":0.9847662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165818047150738,"score_gpt":0.2694172946451927,"score_spread":0.2528354899301189,"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."}}