{"id":"W4389704887","doi":"10.1016/j.knosys.2023.111227","title":"A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems","year":2023,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Population; Mathematical optimization; Fuzzy logic; Benchmark (surveying); Computer science; Algorithm; Evolutionary algorithm; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000904803,0.0006626262,0.0007108858,0.001041102,0.000720758,0.0003770737,0.0009808274,0.00025207,0.000002855538],"category_scores_gemma":[0.0002604769,0.0006101949,0.0001955633,0.00305466,0.0001363162,0.001023024,0.0002255369,0.0003087359,0.000104508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008901237,"about_ca_system_score_gemma":0.0006972735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005868998,"about_ca_topic_score_gemma":0.00007788025,"domain_scores_codex":[0.9957526,0.0003175687,0.0007873642,0.001542356,0.000576092,0.001024026],"domain_scores_gemma":[0.9949716,0.0006500062,0.0005629583,0.0009425241,0.00257387,0.0002990562],"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":[0.00003343916,0.0002356831,0.00001001586,0.0001478395,0.0001224266,0.00001977062,0.00197851,0.9849468,0.0003772909,0.006772862,0.0001042239,0.00525107],"study_design_scores_gemma":[0.004392286,0.0005501742,0.00002300417,0.000407086,0.00003667587,0.00003057486,0.0005398587,0.9912951,0.001048035,0.0007905103,0.0000918285,0.0007948675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000399111,0.0002107116,0.9911228,0.0001064628,0.001498355,0.004521733,0.0001065747,0.001904745,0.0004886664],"genre_scores_gemma":[0.06206262,0.00001878613,0.9319294,0.00005687611,0.0001589454,0.003393322,0.0001691679,0.0001839538,0.002026921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06202271,"threshold_uncertainty_score":0.9996349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146073705749226,"score_gpt":0.2840208351324829,"score_spread":0.2525600980749906,"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."}}