{"id":"W2117854991","doi":"10.1007/s10845-013-0752-z","title":"An integrated GA-DEA algorithm for determining the most effective maintenance policy for a k -out-of- n problem","year":2013,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"University of Tehran","keywords":"Genetic algorithm; Mathematical optimization; Computation; Pareto principle; Flexibility (engineering); Data envelopment analysis; Computer science; Production (economics); Algorithm; Pareto optimal; Reliability (semiconductor); Queue; Multi-objective optimization; Mathematics; Economics","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":[0.0009476525,0.001207671,0.001668461,0.001190839,0.000619453,0.0009817381,0.001847748,0.002059979,0.002403375],"category_scores_gemma":[0.002317988,0.0007158049,0.0009614652,0.0009954936,0.0004823545,0.0007795183,0.0008842516,0.001048487,0.0003428715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008199,"about_ca_system_score_gemma":0.002630216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187326,"about_ca_topic_score_gemma":0.01542003,"domain_scores_codex":[0.9995914,0.0001016355,0.00002731313,0.00009904739,0.00009712043,0.00008350926],"domain_scores_gemma":[0.9992834,0.0004254962,0.00006211812,0.00003164449,0.0001565788,0.0000408717],"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":[0.00009294494,0.0001155366,0.000630335,0.00007195301,0.00006708768,0.00005575008,0.00002829439,0.9298565,0.00135998,0.001787022,0.001102707,0.06483192],"study_design_scores_gemma":[0.00002100493,0.00003320866,0.0001085244,0.000006556309,0.0000165476,0.00001552256,0.000006940643,0.9988874,0.0002055122,0.0004935162,0.0002016584,0.000003646971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05403325,0.0009695964,0.9369004,0.0002934512,0.0001410874,0.0002234108,0.0001691854,0.0008029905,0.0064666],"genre_scores_gemma":[0.4172111,0.0003342508,0.5784601,0.0002149308,0.00006680447,0.0004050156,0.0003106882,0.00009166197,0.002905451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187326,"threshold_uncertainty_score":0.02360827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782547401022432,"score_gpt":0.2455464937929538,"score_spread":0.2367639463919314,"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."}}