{"id":"W4406411297","doi":"10.1016/j.amc.2025.129278","title":"A new mathematical model and solution method for the asymmetric traveling salesman problem with replenishment arcs","year":2025,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Travelling salesman problem; Mathematical optimization; Computer science; Applied mathematics; Mathematics","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":[0.001373472,0.001437343,0.001086058,0.001386079,0.000589048,0.001518402,0.002609745,0.001671166,0.005130048],"category_scores_gemma":[0.001715531,0.0007603127,0.002081472,0.001640867,0.0008367822,0.00256381,0.001500636,0.003425994,0.001144465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453742,"about_ca_system_score_gemma":0.002899706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005602553,"about_ca_topic_score_gemma":0.004464328,"domain_scores_codex":[0.9993668,0.0001857458,0.00003874006,0.0001280888,0.0002200968,0.00006064298],"domain_scores_gemma":[0.9995955,0.0001882654,0.00006278221,0.00003261804,0.00009458482,0.00002624625],"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":[0.00002687005,0.00006658982,0.0002389604,0.000304607,0.000038983,0.0001975007,0.0001439881,0.74274,0.003035707,0.196439,0.006227212,0.05054064],"study_design_scores_gemma":[0.000009720154,0.00001868479,0.00002429724,0.00001775684,0.000007989245,0.00005829261,0.00001738328,0.9783811,0.000257015,0.01560229,0.005595326,0.000010088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007095307,0.0001516667,0.9969631,0.0001522427,0.00003653811,0.00003874741,0.00004812811,0.00005362468,0.001846493],"genre_scores_gemma":[0.07130724,0.001253351,0.9189216,0.0002475052,0.0001693065,0.0005551613,0.000326911,0.0001555222,0.007063343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005602553,"threshold_uncertainty_score":0.01716173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024387723599984,"score_gpt":0.3162004486415981,"score_spread":0.2859565714055982,"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."}}