{"id":"W2010740862","doi":"10.5539/jms.v2n2p219","title":"A Heuristic Based Approach to Solve a Capacitated Location-routing Problem","year":2012,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematical optimization; Simulated annealing; Computer science; Heuristic; Vehicle routing problem; Greedy algorithm; Set (abstract data type); Routing (electronic design automation); Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007280809,0.0008239865,0.0006506518,0.001026622,0.0004990004,0.0008417255,0.001278804,0.001195768,0.004666941],"category_scores_gemma":[0.001418156,0.0004409536,0.0009676546,0.001064997,0.0007349345,0.0008493909,0.0007532365,0.001130479,0.0007639199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008736,"about_ca_system_score_gemma":0.00122096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092854,"about_ca_topic_score_gemma":0.002765206,"domain_scores_codex":[0.9992865,0.0002906715,0.000030482,0.00012217,0.0002098124,0.00006040561],"domain_scores_gemma":[0.9996164,0.0002185858,0.00003741857,0.00004526813,0.00006598621,0.00001631178],"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":[0.0000291057,0.00007704955,0.0003256212,0.0002097816,0.00005920464,0.00008646695,0.00008605505,0.8468262,0.002825222,0.08045858,0.002275271,0.06674148],"study_design_scores_gemma":[0.00001633821,0.00006622128,0.00008588612,0.00002374375,0.00001855944,0.0001135691,0.00004116136,0.9679756,0.001451208,0.02195021,0.008241466,0.00001611256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002176053,0.0001701863,0.9933974,0.00009337071,0.00004240794,0.00004441561,0.00002721303,0.00009131952,0.003957628],"genre_scores_gemma":[0.1244828,0.0004642709,0.8694514,0.000129601,0.00006470949,0.000322735,0.0001531153,0.00009184435,0.004839544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004666941,"threshold_uncertainty_score":0.01561254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374978169876979,"score_gpt":0.2508337986726651,"score_spread":0.2370840169738954,"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."}}