{"id":"W2125670189","doi":"10.1016/j.mcm.2008.09.015","title":"An application of Genetic Algorithm in solving an inventory model with advance payment and interval valued inventory costs","year":2008,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Council of Scientific and Industrial Research, India","keywords":"Genetic algorithm; Interval (graph theory); Computer science; Payment; Mathematical optimization; Inventory control; Algorithm; Operations research; Mathematics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002373139,0.0001876269,0.0002698813,0.0001699692,0.00009220047,0.00006504847,0.000159875,0.00004392677,0.000005710244],"category_scores_gemma":[0.000001520967,0.0001623903,0.00002675314,0.0001208714,0.00009720252,0.000649732,0.0001341906,0.00009567472,0.000002858421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003110749,"about_ca_system_score_gemma":0.000008695183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000736851,"about_ca_topic_score_gemma":0.00001187156,"domain_scores_codex":[0.9987971,0.0000182125,0.0003669925,0.0003670563,0.0002346913,0.0002159212],"domain_scores_gemma":[0.9995267,0.00001164521,0.0001297316,0.000235577,0.00005405625,0.00004227353],"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":[0.0001034126,0.001494614,0.01057967,0.001498983,0.00006078285,0.00003393401,0.003066002,0.7886238,0.00009637438,0.1126186,0.0000438536,0.08178003],"study_design_scores_gemma":[0.0005106989,0.00005923595,0.0002485973,0.0001451477,0.00002072383,0.000005324697,0.0001309743,0.981428,0.00001032966,0.01719665,0.00004671964,0.0001976339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4169302,0.00006665625,0.5826205,0.00001758467,0.00001537845,0.00019825,3.373796e-7,0.00002949927,0.0001216134],"genre_scores_gemma":[0.8752401,0.00002672796,0.1241846,0.0003185454,0.0001387225,0.00004325336,0.000009153877,0.00002421528,0.00001469678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4584359,"threshold_uncertainty_score":0.6622084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482155372286893,"score_gpt":0.220176424252118,"score_spread":0.1953548705292491,"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."}}