{"id":"W4393121419","doi":"10.5267/j.ijiec.2024.2.001","title":"An extended PSO algorithm for cold-chain vehicle routing problem with independent loading and minimum fuel volume","year":2024,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Vehicle routing problem; Volume (thermodynamics); Mathematical optimization; Particle swarm optimization; Algorithm; Cold chain; Computer science; Routing (electronic design automation); Mathematics; Engineering; Physics; Mechanical engineering","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":[0.0005700613,0.000842487,0.0009350796,0.0004503083,0.0002952877,0.0006501799,0.0008329279,0.0009468871,0.001230166],"category_scores_gemma":[0.001048921,0.0003417256,0.0007105106,0.0006007456,0.0003375429,0.0007670972,0.0005981657,0.000772924,0.0002249502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003595172,"about_ca_system_score_gemma":0.0009141436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006531438,"about_ca_topic_score_gemma":0.004253625,"domain_scores_codex":[0.9997072,0.00009142175,0.00002077908,0.00007164275,0.00007505504,0.00003389196],"domain_scores_gemma":[0.9997106,0.000134637,0.00003270644,0.00002515553,0.00007747149,0.00001947389],"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":[0.00005231158,0.00004296091,0.0004847554,0.00006431778,0.00004033815,0.00005770645,0.00003805981,0.9457774,0.001558232,0.004241039,0.001797692,0.04584527],"study_design_scores_gemma":[0.00001089636,0.00001796479,0.00007633533,0.000002872303,0.000004035609,0.00001072739,0.000004088124,0.9986455,0.0001109784,0.0007029115,0.0004110465,0.0000027824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02282241,0.0004819116,0.9721437,0.0002288477,0.0001034535,0.00007227375,0.00007645373,0.0002178068,0.003853244],"genre_scores_gemma":[0.4641587,0.0006698621,0.5286944,0.0001846395,0.0001207963,0.0003361507,0.0004394148,0.00008928342,0.00530673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006531438,"threshold_uncertainty_score":0.01298684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382976234402104,"score_gpt":0.2480882549844095,"score_spread":0.2342584926403884,"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."}}