{"id":"W61930541","doi":"","title":"A preliminary study for multiple ant colony system with new communication strategies","year":2005,"lang":"en","type":"article","venue":"International Conference on Communications","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ant colony optimization algorithms; Travelling salesman problem; Weighting; Ant colony; Computer science; Scheme (mathematics); ANT; Artificial intelligence; Mathematical optimization; Algorithm; Mathematics; 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":[0.001114486,0.0003525692,0.0004713866,0.0002482221,0.0003587914,0.000858381,0.0007241436,0.0005724026,0.002038695],"category_scores_gemma":[0.005928815,0.0001863474,0.0003609954,0.0004533879,0.000473081,0.001720924,0.0003961803,0.000783612,0.0003387205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213244,"about_ca_system_score_gemma":0.0005592036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000867818,"about_ca_topic_score_gemma":0.0006015956,"domain_scores_codex":[0.9991559,0.000291889,0.00003994376,0.0001229278,0.0003187559,0.00007068863],"domain_scores_gemma":[0.9976166,0.001305548,0.0001411896,0.0002176544,0.0006384577,0.0000805554],"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":[0.0004037532,0.000416387,0.003628908,0.001184024,0.0001645919,0.0008809518,0.000711759,0.4963833,0.05725368,0.1469664,0.002360567,0.2896456],"study_design_scores_gemma":[0.00002662664,0.0005982592,0.0006689514,0.00003220702,0.00004167143,0.0003958678,0.00008306906,0.9630008,0.01010762,0.01465557,0.01036873,0.00002060233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1265125,0.002627236,0.8498206,0.0008008729,0.0002309719,0.0002538608,0.00002181733,0.0002016883,0.01953048],"genre_scores_gemma":[0.8010931,0.002329327,0.1886938,0.000182105,0.0002717918,0.000196345,0.00004421242,0.00006757044,0.007121658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002038695,"threshold_uncertainty_score":0.006820083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261040882049941,"score_gpt":0.381627919368405,"score_spread":0.2555238311634108,"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."}}