{"id":"W2479558876","doi":"10.1145/2908961.2931652","title":"Maintaining Diversity in The Bounded Pareto-Set","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multi-objective optimization; Pareto principle; Mathematical optimization; Computer science; Population; Benchmark (surveying); Optimization problem; Machine learning; Mathematics; Geography","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":[0.002204634,0.0006292852,0.0009361125,0.001000472,0.00104585,0.001466003,0.001252036,0.001022918,0.001173229],"category_scores_gemma":[0.007040216,0.0003548294,0.0006500302,0.0006285749,0.001637292,0.001170723,0.002555718,0.001060981,0.0003845022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007736359,"about_ca_system_score_gemma":0.0007211153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006524458,"about_ca_topic_score_gemma":0.0004397258,"domain_scores_codex":[0.9988128,0.0004942446,0.00003637385,0.0001262509,0.0004177864,0.0001125478],"domain_scores_gemma":[0.9975287,0.001674105,0.0001505504,0.0002743365,0.0002751689,0.00009716212],"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":[0.0001057942,0.00006002022,0.0008857535,0.0001361184,0.00007722906,0.000274323,0.0003551217,0.8299405,0.01234066,0.1037363,0.0009957898,0.0510924],"study_design_scores_gemma":[0.00002728807,0.0001274932,0.0003438154,0.0000521914,0.00002260973,0.0001543844,0.0000756202,0.9024612,0.004662184,0.08938722,0.002665316,0.00002068757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.114478,0.0007113987,0.8700664,0.0002997949,0.00003166638,0.00005027582,0.00003405123,0.0002159956,0.01411248],"genre_scores_gemma":[0.8824128,0.0004328658,0.1138866,0.0001518328,0.00002886326,0.0001575055,0.00007025673,0.00008835679,0.002770885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002204634,"threshold_uncertainty_score":0.01165932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961643472876244,"score_gpt":0.2779569222180939,"score_spread":0.2383404874893314,"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."}}