{"id":"W2883655384","doi":"10.5539/mas.v12n8p142","title":"Travelling Salesman Problem Solution Based-on Grey Wolf Algorithm over Hypercube Interconnection Network","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypercube; Travelling salesman problem; Computer science; Benchmark (surveying); Speedup; Algorithm; Interconnection; Mathematical optimization; Path (computing); Parallel computing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026038,0.0002629928,0.0002290053,0.0004513397,0.00109779,0.0007310926,0.001851263,0.0001022333,0.00008034919],"category_scores_gemma":[0.00008305949,0.0002486197,0.00005718894,0.002634818,0.0007564721,0.0007180648,0.0004037691,0.000333171,0.0002715135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789443,"about_ca_system_score_gemma":0.0003612033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002328586,"about_ca_topic_score_gemma":0.00001180554,"domain_scores_codex":[0.99574,0.00008873224,0.0003985783,0.001276602,0.001533754,0.0009623109],"domain_scores_gemma":[0.9979881,0.0001352563,0.0001480794,0.001004817,0.0004198675,0.0003038897],"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":[0.00004371063,0.0002529385,0.00005557853,0.00002290586,0.0000127283,0.000009381618,0.001365293,0.09779345,0.02606634,0.03160486,0.0009738853,0.841799],"study_design_scores_gemma":[0.0003412083,0.0001490915,0.0003094438,0.00002862121,0.000003870381,0.000007420698,0.000008048209,0.985163,0.003804813,0.009339512,0.0005615825,0.0002834062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006993057,0.00001283741,0.9835976,0.0002900428,0.0006257516,0.0004990918,0.000002194003,0.0003047457,0.01396844],"genre_scores_gemma":[0.4851643,0.000005123234,0.5137511,0.0004829195,0.0003491861,0.00005042736,0.00000312489,0.00001860859,0.000175142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8873695,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240828500827405,"score_gpt":0.2692940664572157,"score_spread":0.2468857814489417,"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."}}