{"id":"W1601856531","doi":"10.1007/s00453-002-0986-1","title":"TSP Heuristics: Domination Analysis and Complexity","year":2002,"lang":"en","type":"article","venue":"Algorithmica","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Combinatorics; Travelling salesman problem; Mathematics; Heuristics; Digraph; Heuristic; Theory of computation; Time complexity; Constant (computer programming); Discrete mathematics; Graph; Mathematical optimization; Algorithm; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001430032,0.00008915181,0.0001529007,0.0001548956,0.00005877803,0.00003614025,0.00006227556,0.00004898058,0.0002817097],"category_scores_gemma":[0.0000549736,0.00009863104,0.00003869247,0.0004965999,0.00004323509,0.00006277916,0.00001901073,0.00008434087,0.00002913216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002884352,"about_ca_system_score_gemma":9.901552e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001029708,"about_ca_topic_score_gemma":0.000003382565,"domain_scores_codex":[0.9994417,0.00004159076,0.0001537943,0.0001304111,0.00009896262,0.0001335592],"domain_scores_gemma":[0.9996451,0.00008671176,0.00002284816,0.0001500893,0.00003729217,0.0000579277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004924736,0.0001173006,0.007129812,0.0001180103,0.001424312,0.00002220003,0.001785493,0.2249147,0.001407534,0.003217864,0.003762787,0.756095],"study_design_scores_gemma":[0.00014298,0.000006642583,0.006356933,0.00000219065,0.0001237312,0.000003116782,0.00001187714,0.9916446,0.0005443019,0.0002747785,0.0007762235,0.0001126403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02352645,0.0001920779,0.9712534,0.0001159643,0.0001048414,0.00006913297,0.0000149702,0.0003157232,0.004407418],"genre_scores_gemma":[0.6111605,0.0000617982,0.3884926,0.00002810519,0.00006057275,0.000004185521,0.00001340786,0.00001647534,0.0001622819],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7667298,"threshold_uncertainty_score":0.4022057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925142421986513,"score_gpt":0.2506017387149126,"score_spread":0.2213503144950475,"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."}}