{"id":"W4385840825","doi":"10.1016/j.cor.2023.106385","title":"Enhanced iterated local search for the technician routing and scheduling problem","year":2023,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"European Regional Development Fund; Région Hauts-de-France","keywords":"Iterated local search; Computer science; Scheduling (production processes); Operations research; Job shop scheduling; Mathematical optimization; Local optimum; Local search (optimization); Routing (electronic design automation); Engineering; Mathematics; Artificial intelligence; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001714784,0.0005562747,0.001159748,0.0006302728,0.0003341129,0.0006891247,0.001413151,0.001376895,0.003039591],"category_scores_gemma":[0.004236724,0.0004475515,0.0006878295,0.0006049305,0.0007382227,0.0009542201,0.001115898,0.001030903,0.0003182534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009578938,"about_ca_system_score_gemma":0.001135652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00481527,"about_ca_topic_score_gemma":0.003977427,"domain_scores_codex":[0.9993846,0.0003425147,0.00001669251,0.00005477872,0.0001375891,0.00006378991],"domain_scores_gemma":[0.9981623,0.001346833,0.0001485958,0.00007883352,0.0001921983,0.00007125492],"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":[0.00006534787,0.00005774887,0.0002006433,0.00004258707,0.00002913274,0.00003927116,0.00002995855,0.9760224,0.000628959,0.01056844,0.0006597585,0.01165577],"study_design_scores_gemma":[0.00001193229,0.00001569135,0.00002703185,0.000002033973,0.000003100265,0.000004328975,0.000002839561,0.9979736,0.00006023847,0.001800936,0.00009644678,0.000001842794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04472938,0.0003142135,0.9474562,0.0002366914,0.00004458629,0.00004781067,0.0000458834,0.0001983342,0.00692687],"genre_scores_gemma":[0.7561206,0.000244299,0.233518,0.000143342,0.0000693916,0.0002761692,0.0001369246,0.0001703573,0.009320873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00481527,"threshold_uncertainty_score":0.01016849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07122862884273742,"score_gpt":0.3804832934992185,"score_spread":0.3092546646564811,"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."}}