{"id":"W7126417008","doi":"10.21428/594757db.0ea536db","title":"Genetic Algorithm and Loading Strategy for the DynamicVehicle Routing Problem with Simultaneous Pickup and Delivery","year":2024,"lang":"en","type":"article","venue":"","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pickup; Vehicle routing problem; Routing (electronic design automation); Scheduling (production processes); Genetic algorithm; Memetic algorithm; Job shop scheduling","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002224941,0.0001382932,0.0001065818,0.00004227502,0.000130156,0.0002486564,0.00005765472,0.00005100229,0.000008086715],"category_scores_gemma":[0.00001779303,0.00009469003,0.00001611463,0.0001435572,0.0000398882,0.00009358403,0.00002650244,0.0001204007,0.000001212873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003187408,"about_ca_system_score_gemma":0.00001768707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002952158,"about_ca_topic_score_gemma":0.00001517993,"domain_scores_codex":[0.9993252,0.00001973723,0.0001520456,0.0002060104,0.00007630991,0.0002207495],"domain_scores_gemma":[0.9990095,0.0007968263,0.00001256003,0.00009594132,0.00003532165,0.00004985382],"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":[0.000001726257,0.000001589498,0.000113761,0.0000838847,0.00004510108,0.000007715462,0.0002135105,0.7178953,0.0003220899,0.0001897942,0.00001010451,0.2811155],"study_design_scores_gemma":[0.0001794207,0.00005437717,0.0001844455,0.00005888002,0.00004699759,0.00007804667,0.0002708284,0.9985062,0.0002108437,0.0001130904,0.0001479254,0.0001489474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05606486,0.001918114,0.9407928,0.00005690253,0.00005271655,0.000347206,0.000005578785,0.000427819,0.0003339901],"genre_scores_gemma":[0.616051,0.0001079162,0.383571,0.0000152745,0.00004017201,0.00001664407,0.000001103793,0.00003764396,0.0001591805],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5599862,"threshold_uncertainty_score":0.3861347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159654685129969,"score_gpt":0.2399908858073303,"score_spread":0.2283943389560306,"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."}}