{"id":"W2345988899","doi":"10.5539/jmr.v8n3p1","title":"Heuristic Algorithms for Solving Multiobjective Transportation Problems","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tardiness; Heuristic; Mathematical optimization; Mathematics; Algorithm; Multi-objective optimization; Null-move heuristic; Computer science; Job shop scheduling; Routing (electronic design automation)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007071,0.001689972,0.00124097,0.001903981,0.0008180552,0.001605055,0.001512328,0.001792155,0.00316818],"category_scores_gemma":[0.004398693,0.0007214061,0.001367937,0.002335317,0.001029341,0.001096045,0.0008689529,0.00168437,0.0006617125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340484,"about_ca_system_score_gemma":0.001660968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004633675,"about_ca_topic_score_gemma":0.00364716,"domain_scores_codex":[0.9987646,0.0005970528,0.00006606128,0.0001271064,0.0003261862,0.0001189118],"domain_scores_gemma":[0.9985257,0.001038611,0.000115631,0.00009446152,0.0001784129,0.0000472883],"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":[0.00004519991,0.00004277715,0.000186324,0.0001971374,0.00006726338,0.00006121575,0.00005308098,0.9133012,0.0005937367,0.02747286,0.001561577,0.05641762],"study_design_scores_gemma":[0.00004768857,0.00002920985,0.00004881216,0.00004187598,0.00001835792,0.00002914374,0.00002745006,0.9763761,0.0005401571,0.01966061,0.003170073,0.00001063027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00447531,0.001029347,0.9899516,0.0001437004,0.00009181242,0.00009636441,0.00005628681,0.0002371029,0.003918473],"genre_scores_gemma":[0.1231279,0.001468022,0.8718131,0.0001643622,0.0001055844,0.000485914,0.0002246425,0.0001236112,0.002486817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004633675,"threshold_uncertainty_score":0.01061451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034704343595318,"score_gpt":0.3701570154086054,"score_spread":0.2666865810490736,"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."}}