{"id":"W2057320483","doi":"10.1016/j.ress.2005.12.001","title":"Reliability optimization using multiobjective ant colony system approaches","year":2006,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Mathematical optimization; Redundancy (engineering); Ant colony optimization algorithms; Computer science; Reliability (semiconductor); Probabilistic logic; Multi-objective optimization; Heuristic; Optimization problem; 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":[0.000937562,0.0009659331,0.0008851599,0.0008762322,0.0004376422,0.001038235,0.001055837,0.001034315,0.002387115],"category_scores_gemma":[0.002545187,0.0006454992,0.0006131369,0.0008967081,0.0004716415,0.0008257626,0.0007550328,0.0007618854,0.0003072368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005234326,"about_ca_system_score_gemma":0.0005560621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858645,"about_ca_topic_score_gemma":0.001776822,"domain_scores_codex":[0.9994672,0.0002456662,0.00001898029,0.00004858264,0.0001863658,0.00003330846],"domain_scores_gemma":[0.9991473,0.0005391974,0.00008354032,0.00004458667,0.0001574811,0.00002790426],"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":[0.00001794179,0.0000185528,0.0000761742,0.00002631122,0.00001903496,0.00001894689,0.00001361478,0.9861701,0.000655142,0.002781088,0.0001807064,0.0100224],"study_design_scores_gemma":[0.000003909728,0.000008953749,0.00001901745,0.000001553144,0.000003056493,0.000003666347,0.000001893365,0.9987713,0.0001244395,0.0009586168,0.0001023604,0.000001311644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02751573,0.0004658255,0.9620903,0.0001446471,0.00007653718,0.00006518009,0.00002655366,0.0001954406,0.009419703],"genre_scores_gemma":[0.6750937,0.0005001346,0.3152391,0.00008267743,0.00006710688,0.000278802,0.00006149212,0.0001715999,0.008505366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002387115,"threshold_uncertainty_score":0.007985651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007849150253308916,"score_gpt":0.1696887581511154,"score_spread":0.1618396078978064,"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."}}