{"id":"W937610320","doi":"","title":"Neural network models for combinatorial optimization: A survey of deterministic, stochastic and chaotic approaches","year":2002,"lang":"en","type":"article","venue":"Control and Cybernetics","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stochastic neural network; Artificial neural network; Computer science; Heuristic; Chaotic; Class (philosophy); Artificial intelligence; Cellular neural network; Mathematical optimization; Stochastic optimization; Combinatorial optimization; Time delay neural network; Algorithm; Mathematics","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":[0.000960719,0.001315218,0.001439564,0.001479882,0.0004038789,0.001863206,0.001681979,0.001509414,0.002603376],"category_scores_gemma":[0.002004996,0.0005452089,0.0007761047,0.00328006,0.001008513,0.002510639,0.0009883064,0.001468791,0.0007255462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186796,"about_ca_system_score_gemma":0.001055131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236277,"about_ca_topic_score_gemma":0.003672249,"domain_scores_codex":[0.999535,0.0001754469,0.000037945,0.0000505063,0.0001744224,0.00002675109],"domain_scores_gemma":[0.999456,0.0003577798,0.00004383192,0.00003868068,0.00008596674,0.0000176835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003197716,0.00007217602,0.0005176981,0.001273865,0.0001053467,0.0001076766,0.00009362547,0.367521,0.0004137258,0.4573878,0.006998659,0.1654764],"study_design_scores_gemma":[0.00001485283,0.00004319596,0.0002363574,0.0002867865,0.00003016928,0.0001416602,0.00005958468,0.5438997,0.0003032289,0.394086,0.06086258,0.0000359279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004849828,0.2014378,0.7565717,0.00279263,0.0005776487,0.00006440509,0.0001870491,0.0002042905,0.0333147],"genre_scores_gemma":[0.1832293,0.4821115,0.3099488,0.0008890336,0.002631236,0.0004540921,0.0005515783,0.0002323506,0.01995215],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003236277,"threshold_uncertainty_score":0.008709192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07326862679551169,"score_gpt":0.248796827136281,"score_spread":0.1755282003407693,"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."}}