{"id":"W2104642814","doi":"10.3138/infor.48.1.023","title":"Genetic Algorithm with Hybrid Integer Linear Programming Crossover Operators for the Car-Sequencing Problem","year":2010,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Crossover; Genetic algorithm; Algorithm; Hybrid algorithm (constraint satisfaction); Integer (computer science); Integer programming; Limit (mathematics); Computer science; Process (computing); Mathematical optimization; Linear programming; Mathematics; Artificial intelligence; Stochastic programming","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008325406,0.0008112438,0.0005745871,0.0007067854,0.0003590762,0.0005426224,0.001025676,0.0007925769,0.00189321],"category_scores_gemma":[0.001375494,0.0002314996,0.0004727605,0.001080912,0.0005846703,0.0005406216,0.0006150667,0.000882995,0.0002925243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006920291,"about_ca_system_score_gemma":0.0008717526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002408883,"about_ca_topic_score_gemma":0.002327458,"domain_scores_codex":[0.9996369,0.0001282733,0.0000116432,0.0000495272,0.0001299963,0.0000436529],"domain_scores_gemma":[0.9997292,0.000164725,0.000031642,0.00002141961,0.00003888093,0.00001404432],"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":[0.00006387739,0.000089236,0.0003546096,0.0000479098,0.00004347829,0.0000787336,0.00007366489,0.8690102,0.002642959,0.03192597,0.001169299,0.09450017],"study_design_scores_gemma":[0.0000390505,0.00004573546,0.00008768259,0.000005270808,0.00001343935,0.00002874723,0.000009207938,0.9931487,0.0008030201,0.004811999,0.001001082,0.000006017546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02527099,0.0002069882,0.9687541,0.000132387,0.00003175905,0.00006437273,0.00001823586,0.0003514895,0.005169667],"genre_scores_gemma":[0.357626,0.0002922058,0.6368448,0.0001211276,0.00003922626,0.0002944196,0.0001114593,0.00009606323,0.004574805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002408883,"threshold_uncertainty_score":0.00633347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888008692403693,"score_gpt":0.2856617774670546,"score_spread":0.2667816905430177,"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."}}