{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004830364,0.0001415366,0.000314959,0.00004508291,0.0001094455,0.0001401178,0.0002822962,0.00007147443,0.000007138061],"category_scores_gemma":[0.0003506587,0.0001325111,0.00002768682,0.0002013361,0.0001483339,0.000123749,0.0001151565,0.0000811916,5.280842e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007281278,"about_ca_system_score_gemma":0.00002314208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030208,"about_ca_topic_score_gemma":0.000002268871,"domain_scores_codex":[0.9987075,0.0001616404,0.0003108093,0.0003129645,0.0002310012,0.0002761318],"domain_scores_gemma":[0.998363,0.0008566597,0.0001203633,0.0002638639,0.0002522167,0.0001439218],"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":[0.00002815232,0.00005480788,0.00009165632,0.00002815987,0.00002516154,0.000001139653,0.0001309956,0.9645692,4.86179e-7,0.02384068,0.00009630913,0.01113321],"study_design_scores_gemma":[0.00198925,0.0002134013,0.0006181172,0.000008488334,0.00002547803,0.000008147229,0.000003306603,0.9936079,5.778893e-7,0.003387099,0.000008591109,0.0001296077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000466882,0.001349267,0.9970927,0.0001551319,0.0002604358,0.0004944497,0.00002296127,0.00002501622,0.0001331862],"genre_scores_gemma":[0.9220286,0.00007226031,0.07761233,0.00004477046,0.0000855843,0.00003911266,0.000006625537,0.0000131692,0.00009755749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9215617,"threshold_uncertainty_score":0.5403645,"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."}}