{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007403994,0.0006553718,0.0009238067,0.0007432763,0.0005710443,0.0006167558,0.001524409,0.001309871,0.00229211],"category_scores_gemma":[0.001576689,0.0004060278,0.0006292099,0.0008880761,0.0004707405,0.0006073988,0.0009710967,0.0009169687,0.000359455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971969,"about_ca_system_score_gemma":0.001187381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00844177,"about_ca_topic_score_gemma":0.007182412,"domain_scores_codex":[0.9997053,0.00005730944,0.00001715586,0.00004506806,0.000141413,0.00003371806],"domain_scores_gemma":[0.9996713,0.0001381741,0.00002818793,0.00002204333,0.000115511,0.00002470196],"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":[0.0001339566,0.0001236979,0.0004716823,0.0001673595,0.00009677955,0.00009250847,0.0001382888,0.7153658,0.0106343,0.01248963,0.002759743,0.2575262],"study_design_scores_gemma":[0.00001599517,0.00003228548,0.00006008252,0.000004894007,0.00000742287,0.00001125434,0.000003917943,0.9981952,0.0003658038,0.0008524033,0.0004458104,0.000005015758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01263938,0.0002427201,0.9837391,0.00007780664,0.0000627972,0.00006584587,0.00002085695,0.0002411695,0.002910323],"genre_scores_gemma":[0.3081959,0.0002367179,0.6880798,0.0001492012,0.00006087182,0.0003020756,0.00008378893,0.00006639486,0.002825355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00844177,"threshold_uncertainty_score":0.01678526,"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."}}