{"id":"W3037143117","doi":"10.5267/j.ijiec.2020.6.003","title":"Parameter tuning of the HCSCROCFO-3Opt algorithm for solving the capacitated vehicle routing problem","year":2020,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vehicle routing problem; Mathematical optimization; Computer science; Routing (electronic design automation); Algorithm; Mathematics; Embedded system","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":[],"consensus_categories":[],"category_scores_codex":[0.000532712,0.0001413066,0.0002108427,0.0001092699,0.00008047726,0.00009363444,0.0005754229,0.00008456938,0.000005675851],"category_scores_gemma":[0.001198842,0.000106076,0.0001880096,0.0003772742,0.00003438938,0.0001889633,0.00005945529,0.0004952207,6.441178e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000988601,"about_ca_system_score_gemma":0.00008475602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004444076,"about_ca_topic_score_gemma":2.772508e-7,"domain_scores_codex":[0.9986448,0.00004930052,0.0006744053,0.00009171139,0.0003699702,0.0001697851],"domain_scores_gemma":[0.9980195,0.0009396952,0.0003280774,0.0000861885,0.0005565584,0.00006997553],"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":[0.000007438426,0.000008619947,0.0001285213,0.000007835578,0.0002160361,0.000001390673,0.001062212,0.9751918,0.003380855,0.000174356,0.0002984024,0.01952258],"study_design_scores_gemma":[0.0008607841,0.00003883396,0.0001130777,0.0001686358,0.0000442672,0.00002360384,0.0001794321,0.9938284,0.004005125,0.00006343353,0.0005711623,0.0001032581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03872062,0.00004735309,0.9567345,0.002592628,0.001550457,0.0002287408,0.00002913479,0.00007171468,0.00002482319],"genre_scores_gemma":[0.8119837,0.000003920653,0.1871241,0.00007760652,0.0007594802,0.000006524403,0.000004287511,0.00003651405,0.000003863044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7732631,"threshold_uncertainty_score":0.4325656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260207365858089,"score_gpt":0.2687201777290583,"score_spread":0.2261181040704774,"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."}}