{"id":"W4411959463","doi":"10.31449/inf.v49i23.8270","title":"Adaptive Strategy-Enhanced NSGA-II for Multi-Objective Optimization with Improved Convergence and Diversity Control","year":2025,"lang":"en","type":"article","venue":"Informatica","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Convergence (economics); Diversity (politics); Mathematical optimization; Control (management); Computer science; Mathematics; Artificial intelligence; Economics; Political science; Economic growth","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":[0.00118457,0.001174275,0.0009043416,0.000806578,0.0005108789,0.0007083504,0.001188355,0.0007679957,0.001318907],"category_scores_gemma":[0.001490874,0.0004316542,0.0008861784,0.0007529911,0.0006258705,0.000469942,0.0008302017,0.001100151,0.0002361468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009161164,"about_ca_system_score_gemma":0.001663238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319467,"about_ca_topic_score_gemma":0.01057178,"domain_scores_codex":[0.9992996,0.0002452744,0.00003960174,0.00007283903,0.0002626744,0.00007999299],"domain_scores_gemma":[0.9996064,0.0001524203,0.00005028676,0.00002524283,0.0001395265,0.00002606077],"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":[0.00003074194,0.00002789386,0.0003846888,0.00004978782,0.0000388636,0.00004621276,0.00004893694,0.9759006,0.001585321,0.002734176,0.000520554,0.01863239],"study_design_scores_gemma":[0.00001421915,0.00003297662,0.0001231131,0.000005589708,0.000007087785,0.000009662377,0.000005382901,0.9983307,0.0003016235,0.0006222461,0.0005422719,0.0000051807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05582045,0.000873831,0.9340104,0.0002368462,0.000112331,0.0001566957,0.00004914327,0.0005243169,0.008215999],"genre_scores_gemma":[0.8153794,0.0005546991,0.17779,0.0001894953,0.00004002229,0.0006452894,0.0002041899,0.00007408892,0.005122809],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01319467,"threshold_uncertainty_score":0.02623576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154016471860877,"score_gpt":0.2727647767679153,"score_spread":0.2512246120493065,"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."}}